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• CodePlex Daily Summary for Thursday, May 22, 2014

  CodePlex Daily Summary for Thursday, May 22, 2014Popular ReleasesTerraMap (Terraria World Map Viewer): TerraMap 1.0.5: Added support for the new Terraria v1.2.4 update. New items, walls, and tiles Added the ability to select multiple highlighted block types. Added a dynamic, interactive highlight opacity slider, making it easier to find highlighted tiles with dark colors. Added ability to find Enchanted Swords (in the stone) and Water Bolt books Fixed Issue 35206: Hightlight/Find doesn't work for Demon Altars Fixed finding Demon Hearts/Shadow Orbs Fixed installer not uninstalling older versions T...MDX Parser,Builder,DOM and OLAP visual controls with Writeback for Silverlight: Ranet.UILibrary.Olap-2.5.434.0: Issue hot fixed: 102.127666 - Incorrectly formed command EXCEPT () in MDX query for the exclusion of several elements among of the subordinates 102.132877 - Incorrectly generate MDX query with using VisualTotals, the function HIERARCHIZE - should be inside 102.132887 - If in the MemberChoice select an item with child, and then delete one of the child, the parent misses the result build the test project (...\Users\Public\Documents\Ranet.UILibrary.Olap-2.5 Samples\UILibrary.Olap\Cs\Ranet...R.NET: R.NET 1.5.13: R.NET 1.5.13 is a beta release towards R.NET 1.6. You are encouraged to use it now and give feedback. See the documentation for setup and usage instructions. Main changes for R.NET 1.5.13 Changed the nuget packaging to distribute via nuget.org at R.NET Community and R.NET FSharp Utility. Without entering into details, this was necessary to facilitate the distribution of the packages. You are strongly encouraged to use nuget to manage the dependency of your work on R.NET, rather than the bin...Adaptive Access Layers: AAL 2.0: Major rework with breaking changes. Much more flexible registration of implementation strategy and support for methods, properties and events.Google Analytics SDK for Windows 8 and Windows Phone: Google Analytics SDK 1.2.08: Recommended for Xaml/C# developers: Download the package through NuGet. Recommended for JS and C++ developers: Download the new native vsix (Visual Studio SDK) package above. NEW FEATURES & FIXESSee the full list of changes since the last public release SHOUT OUTSDacianMujdar for the pull request to add support for campaigns. aclassen for the pull request to add support for resolved phone models in the WP7 & 8 Silverlight versions. Alan Mendelevich for great open source library PhoneNam...DbSharp: DbSharpApplication (Binary files): A zip file that include DbSharpApplication.exe. Initial release.Multiwfn: Multiwfn 3.3.3: Multiwfn 3.3.3WebExtras: v1.4.0-Beta-1: Enh: Adding support for jQuery UI framework Enh: Adding support for jqPlot charting library Dropping dependency on MoreLinq library Note: Html.LabelForV2(...) extension method has now been deprecated. You should use Html.RequiredFieldLabelFor(...) extension method instead. This extension method will be removed in future versions.????: 《????》: 《????》（c???）??“????”???????，???????????????C?????????。???????,???????????????????????. ??????????????????????????????????；????????????????????????????。MISAO: Ver. 5.4: Fix bugs (Nicovideo viwer add-in) Add Masakari option (Nicovideo viwer add-in)QuickMon: Version 3.11: This release adds some major changes to the core monitoring engine. 1. Polling overrides: Each collector entry can specify a minimum time updating is allowed for it and dependent collector entries. 2. Polling frequency sliding: Additional to polling overrides a collector entry can specify 'sliding' polling frequency if the state remains the same. This means the frequency slows down reducing overhead of polling on a stagnant resource. 3. The monitor pack has an overriding frequency. If used...Mini SQL Query: Mini SQL Query (1.0.72.457): Apologies for the previous update! FK issue fixed and also a template data cache issue.WordMat: WordMat v. 1.06: Check WordMat.blogspot.com for a complete description of new features.Wsus Package Publisher: Release v1.3.1405.17: Add Russian translation (thanks to VSharmanov) Fix a bug that make WPP to crash if the user click on "Connect/Reload" while the Report Tab is loading. Enhance the way WPP store the password for remote computers command.MoreTerra (Terraria World Viewer): More Terra 1.12.9: =========== = Compatibility = =========== Updated to account for new format 1.2.4.1 =========== = Issues = =========== all items have not been added. Some colors for new tiles may be off. I wanted to get this out so people have a usable program.LINQ to Twitter: LINQ to Twitter v3.0.3: Supports .NET 4.5x, Windows Phone 8.x, Windows 8.x, Windows Azure, Xamarin.Android, and Xamarin.iOS. New features include Status/Lookup, Mute APIs, and bug fixes. 100% Twitter API v1.1 coverage, Async, Portable Class Library (PCL).CS-Script for Notepad++ (C# intellisense and code execution): Release v1.0.26.0: Added access to the Release Notes during 'Check for Updates...'' Debug panels Added support for generic types members Members are grouped into 'Raw View' and 'Non-Public members' categories Implemented dedicated (array-like) view for Lists and Dictionaries http://download-codeplex.sec.s-msft.com/Download?ProjectName=csscriptnpp&DownloadId=846498ClosedXML - The easy way to OpenXML: ClosedXML 0.70.0: A lot of fixes. See history.SFDL.NET: SFDL.NET (2.2.9.2): Changelog: Neues Icon Xup.in CnL Plugin BugfixSEToolbox: SEToolbox 01.030.008 Release 1: Fixed cube editor failing to apply color to cubes. Added to cube editor, replace cube dialog, and Build Percent dialog. Corrected for hidden asteroid ore, allowing rare ore to show when importing an asteroid, or converting a 3d model to an asteroid (still appears to be limitations on rare ore in small asteroids). Allowed ore selection to Asteroid file import. (Can copy/import and convert existing asteroid to another ore). Added progress bars to common long running operations. Fixed ...New Projects<a href="jAvAsCrIpT&colon;alert&lpar;69&rpar;">CLICK HERE TO GET FREE MONEY</a>: <a href="jAvAsCrIpT&colon;alert&lpar;69&rpar;">CLICK HERE TO GET FREE MONEY</a> canopyazure: canopyazureCI&T ULS Log Viewer: Ferramenta para ajudar o desenvolvedor Sharepoint analisar os arquivos de log.EmissorCTE: E uma DLL que ira enviar, receber e cancelar o CTE, também ira fazer geração do DACTEF5 BIG-IP Local Traffic Manager: A .NET wrapper for F5 iControl service-enabled management API.Hydrodesktop Excel-Addin: HydroDesktop ExcelPage Manifest Extractor: Extract a Sharepoint Page Manifest/XMLProject Euler Solutions By multiple1902: Project Euler Solutions in FSharp. By Weisi Dai (multiple1902) <weisi@x-research.com>VerySimpleBackup: Simple command line tool for backup any directory (using Volume Shadow Copy), using archiving (ZIP) with optional password and copy it to FTP (cycle supported).Waf Music Manager: The Waf Music Manager is a simple and fast application that makes fun to manage the local music collection.?????-?????【??】?????????: ??????????????????,???,??????????、???????????????????。??????,????、????，??????！ ?????-?????【??】?????????: ????????,???????????,??????????,????:??,????,???????? ??????????,????????。??????！ ?????-?????【??】?????????: ?????????????????????,??????,???????????,????????????????,????????.??????. ?????-?????【??】?????????: ????????????,????,?????、???、?????,???????,?????,???????????100%。??????！ ?????-?????【??】?????????: ???????????????????????,????,????“???、???、???”?????,?????,?????????????????。??????！ ?????-?????【??】?????????: ??????、??????????????????,???????.??????????,????????。 ?????-?????【??】?????????: ??????????????,????????????,????????,???,???????????,????,????。?????,??????. ?????-?????【??】?????????: ??????、??????????????????,???????.??????????,????????。 ?????-?????【??】?????????: ????????,???????????,??????????,????:??,????,???????? ??????????,????????。??????！ ??????-??????【??】??????????: ??????????????,????????????,????????,???,???????????,????,????。?????,??????. ?????-?????【??】?????????: ?????????????????????,??????,???????????,????????????????,????????.??????. ??????-??????【??】??????????: ???????????????:??????!?????!???:????、????、????、????。??,??????????!??????. ?????-?????【??】?????????: ???????????????,??????,??????,??????、??????,??????、??，????，??????！ ?????-?????【??】?????????: ????????????,????,?????、???、?????,???????,?????,???????????100%。??????！ ?????-?????【??】?????????: ?????1992?,????????????????。??????????????????????。????????????,????，????????！ ?????-?????【??】?????????: ???????????????????????,???????????,??????,??????????????...????????。??????！

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• Oracle BI Server Modeling, Part 1- Designing a Query Factory

  - by bob.ertl(at)oracle.com

    Welcome to Oracle BI Development's BI Foundation blog, focused on helping you get the most value from your Oracle Business Intelligence Enterprise Edition (BI EE) platform deployments.  In my first series of posts, I plan to show developers the concepts and best practices for modeling in the Common Enterprise Information Model (CEIM), the semantic layer of Oracle BI EE.  In this segment, I will lay the groundwork for the modeling concepts.  First, I will cover the big picture of how the BI Server fits into the system, and how the CEIM controls the query processing. Oracle BI EE Query Cycle The purpose of the Oracle BI Server is to bridge the gap between the presentation services and the data sources.  There are typically a variety of data sources in a variety of technologies: relational, normalized transaction systems; relational star-schema data warehouses and marts; multidimensional analytic cubes and financial applications; flat files, Excel files, XML files, and so on. Business datasets can reside in a single type of source, or, most of the time, are spread across various types of sources. Presentation services users are generally business people who need to be able to query that set of sources without any knowledge of technologies, schemas, or how sources are organized in their company. They think of business analysis in terms of measures with specific calculations, hierarchical dimensions for breaking those measures down, and detailed reports of the business transactions themselves.  Most of them create queries without knowing it, by picking a dashboard page and some filters.  Others create their own analysis by selecting metrics and dimensional attributes, and possibly creating additional calculations. The BI Server bridges that gap from simple business terms to technical physical queries by exposing just the business focused measures and dimensional attributes that business people can use in their analyses and dashboards.   After they make their selections and start the analysis, the BI Server plans the best way to query the data sources, writes the optimized sequence of physical queries to those sources, post-processes the results, and presents them to the client as a single result set suitable for tables, pivots and charts. The CEIM is a model that controls the processing of the BI Server.  It provides the subject areas that presentation services exposes for business users to select simplified metrics and dimensional attributes for their analysis.  It models the mappings to the physical data access, the calculations and logical transformations, and the data access security rules.  The CEIM consists of metadata stored in the repository, authored by developers using the Administration Tool client.     Presentation services and other query clients create their queries in BI EE's SQL-92 language, called Logical SQL or LSQL.  The API simply uses ODBC or JDBC to pass the query to the BI Server.  Presentation services writes the LSQL query in terms of the simplified objects presented to the users.  The BI Server creates a query plan, and rewrites the LSQL into fully-detailed SQL or other languages suitable for querying the physical sources.  For example, the LSQL on the left below was rewritten into the physical SQL for an Oracle 11g database on the right. Logical SQL   Physical SQL SELECT "D0 Time"."T02 Per Name Month" saw_0, "D4 Product"."P01  Product" saw_1, "F2 Units"."2-01  Billed Qty  (Sum All)" saw_2 FROM "Sample Sales" ORDER BY saw_0, saw_1       WITH SAWITH0 AS ( select T986.Per_Name_Month as c1, T879.Prod_Dsc as c2,      sum(T835.Units) as c3, T879.Prod_Key as c4 from      Product T879 /* A05 Product */ ,      Time_Mth T986 /* A08 Time Mth */ ,      FactsRev T835 /* A11 Revenue (Billed Time Join) */ where ( T835.Prod_Key = T879.Prod_Key and T835.Bill_Mth = T986.Row_Wid) group by T879.Prod_Dsc, T879.Prod_Key, T986.Per_Name_Month ) select SAWITH0.c1 as c1, SAWITH0.c2 as c2, SAWITH0.c3 as c3 from SAWITH0 order by c1, c2   Probably everybody reading this blog can write SQL or MDX.  However, the trick in designing the CEIM is that you are modeling a query-generation factory.  Rather than hand-crafting individual queries, you model behavior and relationships, thus configuring the BI Server machinery to manufacture millions of different queries in response to random user requests.  This mass production requires a different mindset and approach than when you are designing individual SQL statements in tools such as Oracle SQL Developer, Oracle Hyperion Interactive Reporting (formerly Brio), or Oracle BI Publisher.   The Structure of the Common Enterprise Information Model (CEIM) The CEIM has a unique structure specifically for modeling the relationships and behaviors that fill the gap from logical user requests to physical data source queries and back to the result.  The model divides the functionality into three specialized layers, called Presentation, Business Model and Mapping, and Physical, as shown below. Presentation services clients can generally only see the presentation layer, and the objects in the presentation layer are normally the only ones used in the LSQL request.  When a request comes into the BI Server from presentation services or another client, the relationships and objects in the model allow the BI Server to select the appropriate data sources, create a query plan, and generate the physical queries.  That's the left to right flow in the diagram below.  When the results come back from the data source queries, the right to left relationships in the model show how to transform the results and perform any final calculations and functions that could not be pushed down to the databases.   Business Model Think of the business model as the heart of the CEIM you are designing.  This is where you define the analytic behavior seen by the users, and the superset library of metric and dimension objects available to the user community as a whole.  It also provides the baseline business-friendly names and user-readable dictionary.  For these reasons, it is often called the "logical" model--it is a virtual database schema that persists no data, but can be queried as if it is a database. The business model always has a dimensional shape (more on this in future posts), and its simple shape and terminology hides the complexity of the source data models. Besides hiding complexity and normalizing terminology, this layer adds most of the analytic value, as well.  This is where you define the rich, dimensional behavior of the metrics and complex business calculations, as well as the conformed dimensions and hierarchies.  It contributes to the ease of use for business users, since the dimensional metric definitions apply in any context of filters and drill-downs, and the conformed dimensions enable dashboard-wide filters and guided analysis links that bring context along from one page to the next.  The conformed dimensions also provide a key to hiding the complexity of many sources, including federation of different databases, behind the simple business model. Note that the expression language in this layer is LSQL, so that any expression can be rewritten into any data source's query language at run time.  This is important for federation, where a given logical object can map to several different physical objects in different databases.  It is also important to portability of the CEIM to different database brands, which is a key requirement for Oracle's BI Applications products. Your requirements process with your user community will mostly affect the business model.  This is where you will define most of the things they specifically ask for, such as metric definitions.  For this reason, many of the best-practice methodologies of our consulting partners start with the high-level definition of this layer. Physical Model The physical model connects the business model that meets your users' requirements to the reality of the data sources you have available. In the query factory analogy, think of the physical layer as the bill of materials for generating physical queries.  Every schema, table, column, join, cube, hierarchy, etc., that will appear in any physical query manufactured at run time must be modeled here at design time. Each physical data source will have its own physical model, or "database" object in the CEIM.  The shape of each physical model matches the shape of its physical source.  In other words, if the source is normalized relational, the physical model will mimic that normalized shape.  If it is a hypercube, the physical model will have a hypercube shape.  If it is a flat file, it will have a denormalized tabular shape. To aid in query optimization, the physical layer also tracks the specifics of the database brand and release.  This allows the BI Server to make the most of each physical source's distinct capabilities, writing queries in its syntax, and using its specific functions. This allows the BI Server to push processing work as deep as possible into the physical source, which minimizes data movement and takes full advantage of the database's own optimizer.  For most data sources, native APIs are used to further optimize performance and functionality. The value of having a distinct separation between the logical (business) and physical models is encapsulation of the physical characteristics.  This encapsulation is another enabler of packaged BI applications and federation.  It is also key to hiding the complex shapes and relationships in the physical sources from the end users.  Consider a routine drill-down in the business model: physically, it can require a drill-through where the first query is MDX to a multidimensional cube, followed by the drill-down query in SQL to a normalized relational database.  The only difference from the user's point of view is that the 2nd query added a more detailed dimension level column - everything else was the same. Mappings Within the Business Model and Mapping Layer, the mappings provide the binding from each logical column and join in the dimensional business model, to each of the objects that can provide its data in the physical layer.  When there is more than one option for a physical source, rules in the mappings are applied to the query context to determine which of the data sources should be hit, and how to combine their results if more than one is used.  These rules specify aggregate navigation, vertical partitioning (fragmentation), and horizontal partitioning, any of which can be federated across multiple, heterogeneous sources.  These mappings are usually the most sophisticated part of the CEIM. Presentation You might think of the presentation layer as a set of very simple relational-like views into the business model.  Over ODBC/JDBC, they present a relational catalog consisting of databases, tables and columns.  For business users, presentation services interprets these as subject areas, folders and columns, respectively.  (Note that in 10g, subject areas were called presentation catalogs in the CEIM.  In this blog, I will stick to 11g terminology.)  Generally speaking, presentation services and other clients can query only these objects (there are exceptions for certain clients such as BI Publisher and Essbase Studio). The purpose of the presentation layer is to specialize the business model for different categories of users.  Based on a user's role, they will be restricted to specific subject areas, tables and columns for security.  The breakdown of the model into multiple subject areas organizes the content for users, and subjects superfluous to a particular business role can be hidden from that set of users.  Customized names and descriptions can be used to override the business model names for a specific audience.  Variables in the object names can be used for localization. For these reasons, you are better off thinking of the tables in the presentation layer as folders than as strict relational tables.  The real semantics of tables and how they function is in the business model, and any grouping of columns can be included in any table in the presentation layer.  In 11g, an LSQL query can also span multiple presentation subject areas, as long as they map to the same business model. Other Model Objects There are some objects that apply to multiple layers.  These include security-related objects, such as application roles, users, data filters, and query limits (governors).  There are also variables you can use in parameters and expressions, and initialization blocks for loading their initial values on a static or user session basis.  Finally, there are Multi-User Development (MUD) projects for developers to check out units of work, and objects for the marketing feature used by our packaged customer relationship management (CRM) software.   The Query Factory At this point, you should have a grasp on the query factory concept.  When developing the CEIM model, you are configuring the BI Server to automatically manufacture millions of queries in response to random user requests. You do this by defining the analytic behavior in the business model, mapping that to the physical data sources, and exposing it through the presentation layer's role-based subject areas. While configuring mass production requires a different mindset than when you hand-craft individual SQL or MDX statements, it builds on the modeling and query concepts you already understand. The following posts in this series will walk through the CEIM modeling concepts and best practices in detail.  We will initially review dimensional concepts so you can understand the business model, and then present a pattern-based approach to learning the mappings from a variety of physical schema shapes and deployments to the dimensional model.  Along the way, we will also present the dimensional calculation template, and learn how to configure the many additivity patterns.

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• SSAS: Using fake dimension and scopes for dynamic ranges

  - by DigiMortal

  In one of my BI projects I needed to find count of objects in income range. Usual solution with range dimension was useless because range where object belongs changes in time. These ranges depend on calculation that is done over incomes measure so I had really no option to use some classic solution. Thanks to SSAS forums I got my problem solved and here is the solution. The problem – how to create dynamic ranges? I have two dimensions in SSAS cube: one for invoices related to objects rent and the other for objects. There is measure that sums invoice totals and two calculations. One of these calculations performs some computations based on object income and some other object attributes. Second calculation uses first one to define income ranges where object belongs. What I need is query that returns me how much objects there are in each group. I cannot use dimension for range because on one date object may belong to one range and two days later to another income range. By example, if object is not rented out for two days it makes no money and it’s income stays the same as before. If object is rented out after two days it makes some income and this income may move it to another income range. Solution – fake dimension and scopes Thanks to Gerhard Brueckl from pmOne I got everything work fine after some struggling with BI Studio. The original discussion he pointed out can be found from SSAS official forums thread Create a banding dimension that groups by a calculated measure. Solution was pretty simple by nature – we have to define fake dimension for our range and use scopes to assign values for object count measure. Object count measure is primitive – it just counts objects and that’s it. We will use it to find out how many objects belong to one or another range. We also need table for fake ranges and we have to fill it with ranges used in ranges calculation. After creating the table and filling it with ranges we can add fake range dimension to our cube. Let’s see now how to solve the problem step-by-step. Solving the problem Suppose you have ranges calculation defined like this: CASE WHEN [Measures].[ComplexCalc] < 0 THEN 'Below 0'WHEN [Measures].[ComplexCalc] >=0 AND  [Measures].[ComplexCalc] <=50 THEN '0 - 50'...END Let’s create now new table to our analysis database and name it as FakeIncomeRange. Here is the definition for table: CREATE TABLE [FakeIncomeRange] (     [range_id] [int] IDENTITY(1,1) NOT NULL,     [range_name] [nvarchar](50) NOT NULL,     CONSTRAINT [pk_fake_income_range] PRIMARY KEY CLUSTERED      (         [range_id] ASC     ) ) Don’t forget to fill this table with range labels you are using in ranges calculation. To use ranges from table we have to add this table to our data source view and create new dimension. We cannot bind this table to other tables but we have to leave it like it is. Our dimension has two attributes: ID and Name. The next thing to create is calculation that returns objects count. This calculation is also fake because we override it’s values for all ranges later. Objects count measure can be defined as calculation like this: COUNT([Object].[Object].[Object].members) Now comes the most crucial part of our solution – defining the scopes. Based on data used in this posting we have to define scope for each of our ranges. Here is the example for first range. SCOPE([FakeIncomeRange].[Name].&[Below 0], [Measures].[ObjectCount])     This=COUNT(            FILTER(                [Object].[Object].[Object].members,                 [Measures].[ComplexCalc] < 0          )     ) END SCOPE To get these scopes defined in cube we need MDX script blocks for each line given here. Take a look at the screenshot to get better idea what I mean. This example is given from SQL Server books online to avoid conflicts with NDA. :) From previous example the lines (MDX scripts) are: Line starting with SCOPE Block for This = Line with END SCOPE And now it is time to deploy and process our cube. Although you may see examples where there are semicolons in the end of statements you don’t need them. Visual Studio BI tools generate separate command from each script block so you don’t need to worry about it.

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• New release of &quot;OLAP PivotTable Extensions&quot;

  - by Luca Zavarella

  For those who are not familiar with this add-in, the OLAP PivotTable Extensions add features of interest to Excel 2007 or 2010 PivotTables pointing to an OLAP cube in Analysis Services. One of these features I like very much, is to know the MDX query code associated with the pivot used at that time in Excel: You can find all the details here: http://olappivottableextend.codeplex.com/ It was recently released a new version of the add-in (version 0.7.4), which does not introduce any new features, but fixes a significant bug: Release 0.7.4 now properly handles languages but introduces no new features. International users who run a different Windows language than their Excel UI language may be receiving an error message when they double click a cell and perform drillthrough which reads: "XML for Analysis parser: The LocaleIdentifier property is not overwritable and cannot be assigned a new value". This error was caused by OLAP PivotTable Extensions in some situations, but release 0.7.4 fixes this problem. Enjoy!

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• Columnstore Case Study #2: Columnstore faster than SSAS Cube at DevCon Security

  - by aspiringgeek

  Preamble This is the second in a series of posts documenting big wins encountered using columnstore indexes in SQL Server 2012 & 2014.  Many of these can be found in my big deck along with details such as internals, best practices, caveats, etc.  The purpose of sharing the case studies in this context is to provide an easy-to-consume quick-reference alternative. See also Columnstore Case Study #1: MSIT SONAR Aggregations Why Columnstore? As stated previously, If we’re looking for a subset of columns from one or a few rows, given the right indexes, SQL Server can do a superlative job of providing an answer. If we’re asking a question which by design needs to hit lots of rows—DW, reporting, aggregations, grouping, scans, etc., SQL Server has never had a good mechanism—until columnstore. Columnstore indexes were introduced in SQL Server 2012. However, they're still largely unknown. Some adoption blockers existed; yet columnstore was nonetheless a game changer for many apps.  In SQL Server 2014, potential blockers have been largely removed & they're going to profoundly change the way we interact with our data.  The purpose of this series is to share the performance benefits of columnstore & documenting columnstore is a compelling reason to upgrade to SQL Server 2014. The Customer DevCon Security provides home & business security services & has been in business for 135 years. I met DevCon personnel while speaking to the Utah County SQL User Group on 20 February 2012. (Thanks to TJ Belt (b|@tjaybelt) & Ben Miller (b|@DBADuck) for the invitation which serendipitously coincided with the height of ski season.) The App: DevCon Security Reporting: Optimized & Ad Hoc Queries DevCon users interrogate a SQL Server 2012 Analysis Services cube via SSRS. In addition, the SQL Server 2012 relational back end is the target of ad hoc queries; this DW back end is refreshed nightly during a brief maintenance window via conventional table partition switching. SSRS, SSAS, & MDX Conventional relational structures were unable to provide adequate performance for user interaction for the SSRS reports. An SSAS solution was implemented requiring personnel to ramp up technically, including learning enough MDX to satisfy requirements. Ad Hoc Queries Even though the fact table is relatively small—only 22 million rows & 33GB—the table was a typical DW table in terms of its width: 137 columns, any of which could be the target of ad hoc interrogation. As is common in DW reporting scenarios such as this, it is often nearly to optimize for such queries using conventional indexing. DevCon DBAs & developers attended PASS 2012 & were introduced to the marvels of columnstore in a session presented by Klaus Aschenbrenner (b|@Aschenbrenner) The Details Classic vs. columnstore before-&-after metrics are impressive. Scenario Conventional Structures Columnstore ? SSRS via SSAS 10 - 12 seconds 1 second >10x Ad Hoc 5-7 minutes (300 - 420 seconds) 1 - 2 seconds >100x Here are two charts characterizing this data graphically.  The first is a linear representation of Report Duration (in seconds) for Conventional Structures vs. Columnstore Indexes.  As is so often the case when we chart such significant deltas, the linear scale doesn’t expose some the dramatically improved values corresponding to the columnstore metrics.  Just to make it fair here’s the same data represented logarithmically; yet even here the values corresponding to 1 –2 seconds aren’t visible.  The Wins Performance: Even prior to columnstore implementation, at 10 - 12 seconds canned report performance against the SSAS cube was tolerable. Yet the 1 second performance afterward is clearly better. As significant as that is, imagine the user experience re: ad hoc interrogation. The difference between several minutes vs. one or two seconds is a game changer, literally changing the way users interact with their data—no mental context switching, no wondering when the results will appear, no preoccupation with the spinning mind-numbing hurry-up-&-wait indicators.  As we’ve commonly found elsewhere, columnstore indexes here provided performance improvements of one, two, or more orders of magnitude. Simplified Infrastructure: Because in this case a nonclustered columnstore index on a conventional DW table was faster than an Analysis Services cube, the entire SSAS infrastructure was rendered superfluous & was retired. PASS Rocks: Once again, the value of attending PASS is proven out. The trip to Charlotte combined with eager & enquiring minds let directly to this success story. Find out more about the next PASS Summit here, hosted this year in Seattle on November 4 - 7, 2014. DevCon BI Team Lead Nathan Allan provided this unsolicited feedback: “What we found was pretty awesome. It has been a game changer for us in terms of the flexibility we can offer people that would like to get to the data in different ways.” Summary For DW, reports, & other BI workloads, columnstore often provides significant performance enhancements relative to conventional indexing.  I have documented here, the second in a series of reports on columnstore implementations, results from DevCon Security, a live customer production app for which performance increased by factors of from 10x to 100x for all report queries, including canned queries as well as reducing time for results for ad hoc queries from 5 - 7 minutes to 1 - 2 seconds. As a result of columnstore performance, the customer retired their SSAS infrastructure. I invite you to consider leveraging columnstore in your own environment. Let me know if you have any questions.

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• Looking for SQL People

  - by simonsabin

  I’m looking for 2 SQL people to join our data team. I need people that are keen to develop an exciting data platform with strong SQL skills. Desirable skills are MDX/SSAS, data warehousing and working in finance industry. The role is a full time role based in London. If you are interested then let me know either via my http://sqlblogcasts.com/blogs/simons/contact.aspx or via twitter @simon_sabin https://twitter.com/intent/tweet?screen_name=simon_sabin&text=Read your blog send me details . No...(read more)

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• How can I obtain a list of a SSAS Cube's dimentions and dimentions' attributes

  - by Scott Weinstein

  I have a user asking me to list the dimensions and dimension attributes of our SSAS cube. I susspect I could generate this via AMO, but I'm wondering if there's an MDX query or SSMS option to show the same info. Any ideas?

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• Deploy only cube schema, without processing

  - by Ken Yao

  Is there a way to only deploy cube schema, but without processing the cube. It seems in Visual Studio, when yo deploy a cube, by default, it is "Deploy and Process". The problem is processing takes so much time, and my main purpose is just writing some MDX script and see if it works well against the cube structure. It seems processing whole cube is just over kill. So I ask.

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• Columnstore Case Study #2: Columnstore faster than SSAS Cube at DevCon Security

  - by aspiringgeek

  Preamble This is the second in a series of posts documenting big wins encountered using columnstore indexes in SQL Server 2012 & 2014.  Many of these can be found in my big deck along with details such as internals, best practices, caveats, etc.  The purpose of sharing the case studies in this context is to provide an easy-to-consume quick-reference alternative. See also Columnstore Case Study #1: MSIT SONAR Aggregations Why Columnstore? As stated previously, If we’re looking for a subset of columns from one or a few rows, given the right indexes, SQL Server can do a superlative job of providing an answer. If we’re asking a question which by design needs to hit lots of rows—DW, reporting, aggregations, grouping, scans, etc., SQL Server has never had a good mechanism—until columnstore. Columnstore indexes were introduced in SQL Server 2012. However, they're still largely unknown. Some adoption blockers existed; yet columnstore was nonetheless a game changer for many apps.  In SQL Server 2014, potential blockers have been largely removed & they're going to profoundly change the way we interact with our data.  The purpose of this series is to share the performance benefits of columnstore & documenting columnstore is a compelling reason to upgrade to SQL Server 2014. The Customer DevCon Security provides home & business security services & has been in business for 135 years. I met DevCon personnel while speaking to the Utah County SQL User Group on 20 February 2012. (Thanks to TJ Belt (b|@tjaybelt) & Ben Miller (b|@DBADuck) for the invitation which serendipitously coincided with the height of ski season.) The App: DevCon Security Reporting: Optimized & Ad Hoc Queries DevCon users interrogate a SQL Server 2012 Analysis Services cube via SSRS. In addition, the SQL Server 2012 relational back end is the target of ad hoc queries; this DW back end is refreshed nightly during a brief maintenance window via conventional table partition switching. SSRS, SSAS, & MDX Conventional relational structures were unable to provide adequate performance for user interaction for the SSRS reports. An SSAS solution was implemented requiring personnel to ramp up technically, including learning enough MDX to satisfy requirements. Ad Hoc Queries Even though the fact table is relatively small—only 22 million rows & 33GB—the table was a typical DW table in terms of its width: 137 columns, any of which could be the target of ad hoc interrogation. As is common in DW reporting scenarios such as this, it is often nearly to optimize for such queries using conventional indexing. DevCon DBAs & developers attended PASS 2012 & were introduced to the marvels of columnstore in a session presented by Klaus Aschenbrenner (b|@Aschenbrenner) The Details Classic vs. columnstore before-&-after metrics are impressive. Scenario   Conventional Structures   Columnstore   Δ SSRS via SSAS 10 - 12 seconds 1 second >10x Ad Hoc 5-7 minutes (300 - 420 seconds) 1 - 2 seconds >100x Here are two charts characterizing this data graphically.  The first is a linear representation of Report Duration (in seconds) for Conventional Structures vs. Columnstore Indexes.  As is so often the case when we chart such significant deltas, the linear scale doesn’t expose some the dramatically improved values corresponding to the columnstore metrics.  Just to make it fair here’s the same data represented logarithmically; yet even here the values corresponding to 1 –2 seconds aren’t visible.  The Wins Performance: Even prior to columnstore implementation, at 10 - 12 seconds canned report performance against the SSAS cube was tolerable. Yet the 1 second performance afterward is clearly better. As significant as that is, imagine the user experience re: ad hoc interrogation. The difference between several minutes vs. one or two seconds is a game changer, literally changing the way users interact with their data—no mental context switching, no wondering when the results will appear, no preoccupation with the spinning mind-numbing hurry-up-&-wait indicators.  As we’ve commonly found elsewhere, columnstore indexes here provided performance improvements of one, two, or more orders of magnitude. Simplified Infrastructure: Because in this case a nonclustered columnstore index on a conventional DW table was faster than an Analysis Services cube, the entire SSAS infrastructure was rendered superfluous & was retired. PASS Rocks: Once again, the value of attending PASS is proven out. The trip to Charlotte combined with eager & enquiring minds let directly to this success story. Find out more about the next PASS Summit here, hosted this year in Seattle on November 4 - 7, 2014. DevCon BI Team Lead Nathan Allan provided this unsolicited feedback: “What we found was pretty awesome. It has been a game changer for us in terms of the flexibility we can offer people that would like to get to the data in different ways.” Summary For DW, reports, & other BI workloads, columnstore often provides significant performance enhancements relative to conventional indexing.  I have documented here, the second in a series of reports on columnstore implementations, results from DevCon Security, a live customer production app for which performance increased by factors of from 10x to 100x for all report queries, including canned queries as well as reducing time for results for ad hoc queries from 5 - 7 minutes to 1 - 2 seconds. As a result of columnstore performance, the customer retired their SSAS infrastructure. I invite you to consider leveraging columnstore in your own environment. Let me know if you have any questions.

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• LVM incorrectly reported missing after power failure

  - by mensi

  We have had a major power failure in the data-center. We are using a set of servers for our storage needs. The main server has several pairs of disks mirrored with mdadm. The resulting /dev/mdX are LVM physical volumes and belong to a big volume-group with all our data. After the powerloss, we had the problem that one of the mdadm devices was not auto-detected due to a missing entry in mdadm.conf. As a consequence, the volumegroup had inactive logical volumes due to the missing PV. We were able to fix the mdadm config and reboot. pvscan shows all expected PVs but one LV still does not come up. vgdisplay shows: [...] Cur PV: 3 Act PV: 2 [...] Neither vgscan nor pvscan show any missing devices. What went wrong? How can we force LVM to activate all PVs?

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• Additional options in MDL

  - by Jane Zhang

      The Metadata Loader(MDL) enables you to populate a new repository as well as transfer, update, or restore a backup of existing repository metadata. It consists of two utilities: metadata export and metadata import. The export utility extracts metadata objects from a repository and writes the information into a file. The import utility reads the metadata information from an exported file and inserts the metadata objects into a repository.      While the Design Client provides an intuitive UI that helps you perform the most commonly used export and import tasks, OMBPlus scripting enables you to specify some additional options, and manage a control file that allows you to perform more specialized export and import tasks. Is it possible to utilize these options in MDL from Design Client? This article will tell you how to achieve it.      A property file named mdl.properties is used to configure the additional options. It stores options in name/value pairs. This file can be created and placed under the directory <owb installation path>/owb/bin/admin/. Below we will introduce the options that can be specified in the mdl.properties file. 1. DEFAULTDIRECTORY     When we open a Metadata Export/Import dialog in Design Client, a default directory is provided for MDL file and log file. For MDL Export, the default directory is <owb installation path>/owb/bin/. As for MDL Import, the default directory is <owb installation path>/owb/mdl/. It may not be the one you would want to use as a default. You can specify the option DEFAULTDIRECTORY in the mdl.properties file to set your own default directory for MDL Export/Import, for example, DEFAULTDIRECOTRY=/tmp/     In this example, the default directory is set to /tmp/. Be sure the value ends with a file separator since it represents a directory. In Windows, the file separator is “\”. In linux, the file separator is “/”. 2. MDLTRACEFILE     Sometimes we would like to trace the whole process of MDL Export/Import, and get detailed information about operations to help developers or supports troubleshooting. To turn on MDL trace, set the option MDLTRACEFILE in the mdl.properties file. MDLTRACEFILE=/tmp/mdl.trc    The right side of the equals sign is to specify the name of the file for MDL trace information to be written. If no path is specified, the file will be placed under directory <owb installation path>/owb/bin/admin/. However, the trace file may be large if the MDL file contains a large number of metadata objects, so please use this option sparingly. 3. CONTROLFILE       We can use a control file to specify how objects are imported or exported. We can set an option called CONTROLFILE in the mdl.properties file, so the control file can also be utilized in Design Client, for example, CONTROLFILE=/tmp/mdl_control_file.ctl     The control file stores options in name/value pairs. When using control file, be sure the file exists, otherwise an exception java.lang.Exception: CNV0002-0031(ERROR): Cannot find specified file will be thrown out during MDL Export/Import.      Next we will introduce some options specified in control file. ZIPFILEFORMAT     By default, MDL exports objects into a zip format file. This zip file has an .mdl extension and contains two files. For example, you export the repository metadata into a file called projects.mdl. When you unzip this MDL file, you obtain two files. The file projects.mdx contains the repository objects. The file mdlcatalog.xml contains internal information about the MDL XML file. Another choice is to combine these two files into one unzip text format file when doing MDL exporting.    In OMBPlus command related to MDL, there is an option called FILE_FORMAT which is used to specify the file format for the exported file. Its acceptable values are ZIP or TEXT. When the value TEXT is selected, the exported file is in text format, for example, OMBEXPORT MDL_FILE '/tmp/options_file_format_test.mdl' FILE_FORMAT TEXT FROM PROJECT 'MY_PROJECT'    How to achieve this via Design Client when doing an MDL exporting? Here we have another option called ZIPFILEFORMAT which has the same function as the FILE_FORMAT. The difference is the acceptable values for ZIPFILEFORMAT are Y or N. When the value is set to N, the exported file is in text format, otherwise it is in zip file format. LOGMESSAGELEVEL     Whenever you export or import repository metadata, MDL writes diagnostic and statistical information to a log file. Their are 3 types of status messages: Informational, Warning and Error. By default, the log file includes all types of message. Sometimes, user may only care about one type of messages, for example, they would like only error messages written to the log file. In order to achieve this, we can set an option called LOGMESSAGELEVEL in control file. The acceptable values for LOGMESSAGELEVEL are ALL, WARNING and ERROR. ALL: If the option LOGMESSAGELEVEL is set to ALL, all types of messages (Informational, Warning and Error) will be written into the log file. WARNING: If the option LOGMESSAGELEVEL is set to WARNING, only warning messages will be written into log file. ERROR: If the option LOGMESSAGELEVEL is set to ERROR, only error messages will be written into log file. UPDATEPROJECTATTRIBUTES, UPDATEMODULEATTRIBUTES      These two options are used to decide whether updating the attributes of projects/modules. The options work when projects/modules being imported already exist in repository and we use update metadata mode or replace metadata mode to do the MDL import. The acceptable values for these two options are Y or N. If the value is set to Y, the attributes of projects/modules will be updated, otherwise not.      Next, let’s give an example to see how these options take effect in MDL. 1. First of all, create the property file mdl.properties under the directory <owb installation path>/owb/bin/admin/. 2. Specify the options in the mdl.properties file, see the following screenshot. 3. Create the control file mdl_control_file.ctl under the directory /tmp/. Set the following options in control file. 4. Log into the OWB Design Client. 5. Create an Oracle module named ORA_MOD_1 under the project MY_PROJECT, then export the project MY_PROJECT into file my_project.mdl. 6. Check the trace file mdl.trc under the directory /tmp/. In this file, we can see very detail information for the above export task. 7. Check the exported MDL file. The file my_project.mdl is in text format. Opening the file, you can see the content of the file directly. It concats the file my_project.mdx and mdlcatalog.xml. 8. Modify the project MY_PROJECT and Oracle module ORA_MOD_1, add descriptions for them separately. Delete the location created in step 5. 9. Import the MDL file my_project.mdl. From the Metadata Import dialog, we can see the default directory for MDL file and log file has been changed to /tmp/. Here we use update metadata mode, match by names to do the importing. 10. After importing, check the description of the project MY_PROJECT, we can see the description is still there. But the description of the Oracle module ORA_MOD_1 has gone. That because we set the option UPDATEPROJECTATTRIBUTES to N, and set the option UPDATEMODULEATTRIBUTES to Y. 11. Check the log file, the log file only contains warning messages and the log message level is set to WARNING.      For more details about the 3 types of status messages, see Oracle® Warehouse Builder Installation and Administration Guide11g Release 2.

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• Implement Budget Allocation in DAX for Power Pivot and Tabular #powerpivot #tabular #ssas #dax

  - by Marco Russo (SQLBI)

  Comparing sales and budget, or costs and budget, is a very common operation. However, it is often the case that you have different granularities for different tables containing budget and the data to compare with. There are two ways to do that: you can limit the comparison to the granularity that is common to the two tables, or you can allocate the budget where it’s not defined. For example, if you have a budget defined by quarter and category, you might want to allocate it by month and product. In this way, you will do the comparison as you had a more granular definition of the budget, without actually having to do the manual job of allocating data (usually in an Excel worksheet!). If you want to do budget allocation in DAX, you can use the Budget Patterns we published on DAX Patterns. If you come from and MDX/OLAP background, at first you might find it hard to solve the problem of not having attribute hierarchies that helps you in propagating the budget values to lower hierarchical levels. However, I think that once you get used to DAX, you will find the behavior very predictable and easy to “debug” also for more complex allocation formula. You just have to be careful in writing the DAX formula, but probably the pattern we wrote should help you designing the right data model, without creating physical relationships to the budget table! This pattern is also based on the Handling Different Granularities scenario I discussed a couple of weeks ago.

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• Creating properly aligned partitions on a replacement disk

  - by Marius Gedminas

  I've a typical small office server with two hard disks configured for RAID-1 (mirroring). Each disk has several partitions: one for swap, the others paired in several /dev/mdX arrays. Every couple of years one of the disks dies and is replaced. The replacement typically goes something like this: # copy partition table from the remaining good disk to the empty replacement disk # (instead of /dev/good_disk and /dev/new_disk I use /dev/sda and /dev/sdb, as appropriate) sfdisk -d /dev/good_disk | sfdisk /dev/new_disk # install boot loader grub-install /dev/new_disk # create swap partition reusing the same UUID, so I don't need to edit /etc/fstab mkswap /dev/new_disk1 -U xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx # hot-add the new partitions to my RAID arrays mdadm /dev/md0 -a /dev/new_disk2 mdadm /dev/md1 -a /dev/new_disk5 mdadm /dev/md2 -a /dev/new_disk6 mdadm /dev/md3 -a /dev/new_disk7 mdadm /dev/md4 -a /dev/new_disk8 The disks were originally partitioned with cfdisk back in 2009, and so the partition table is aligned traditionally to cylinder boundaries (255 heads * 63 sectors). This is not the optimum configuration for new 4K-sector drives. My question is: how can I create a set of partitions for the new disk and ensure they're properly aligned, and have correct sizes for my RAID arrays (rounding up is acceptable, I suppose, but rounding down is definitely not)?

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• DIVIDE vs division operator in #dax

  - by Marco Russo (SQLBI)

  Alberto Ferrari wrote an interesting article about DIVIDE performance in DAX. This new function has been introduced in SQL Server Analysis Services 2012 SP1, so it is available also in Excel 2013 (which still doesn’t have other features/fixes introduced by following Cumulative Updates…). The idea that instead of writing: IF ( Sales[Quantity] <> 0, Sales[Amount] / Sales[Quantity], BLANK () ) you can write: DIVIDE ( Sales[Amount], Sales[Quantity] ) There is a third optional argument in DIVIDE that defines the result in case the denominator (second argument) is zero, and by default its value is BLANK, so I omitted the third argument in my example. Using DIVIDE is very important, especially when you use a measure in MDX (for example in an Excel PivotTable) because it raise the chance that the non empty evaluation for the result is evaluated in bulk mode instead of cell-by-cell. However, from a DAX point of view, you might find it’s better to use the standard division operator removing the IF statement. I suggest you to read Alberto’s article, because you will find that an expression applying a filter using FILTER is faster than using CALCULATE, which is against any rule of thumb you might have read until now! Again, this is not always true, and depends on many conditions – trying to simplify, we might say that for a simple calculation, the query plan generated by FILTER could be more efficient – but, as usual, it depends, and 90% of the times using FILTER instead of CALCULATE produces slower performance. Do not take anything for granted, and always check the query plan when performance are your first issue!

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• Implement Budget Allocation in DAX for Power Pivot and Tabular #powerpivot #tabular #ssas #dax

  - by Marco Russo (SQLBI)

  Comparing sales and budget, or costs and budget, is a very common operation. However, it is often the case that you have different granularities for different tables containing budget and the data to compare with. There are two ways to do that: you can limit the comparison to the granularity that is common to the two tables, or you can allocate the budget where it’s not defined. For example, if you have a budget defined by quarter and category, you might want to allocate it by month and product. In this way, you will do the comparison as you had a more granular definition of the budget, without actually having to do the manual job of allocating data (usually in an Excel worksheet!). If you want to do budget allocation in DAX, you can use the Budget Patterns we published on DAX Patterns. If you come from and MDX/OLAP background, at first you might find it hard to solve the problem of not having attribute hierarchies that helps you in propagating the budget values to lower hierarchical levels. However, I think that once you get used to DAX, you will find the behavior very predictable and easy to “debug” also for more complex allocation formula. You just have to be careful in writing the DAX formula, but probably the pattern we wrote should help you designing the right data model, without creating physical relationships to the budget table! This pattern is also based on the Handling Different Granularities scenario I discussed a couple of weeks ago.

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• Essbase - FormatString

  - by THE

  A look at the documentation for "Typed Measures" shows:"Using format strings, you can format the values (cell contents) of Essbase database members in numeric type measures so that they appear, for query purposes, as text, dates, or other types of predefined values. The resultant display value is the cell’s formatted value (FORMATTED_VALUE property in MDX). The underlying real value is numeric, and this value is unaffected by the associated formatted value."To actually switch ON the use of typed measures in general, you need to navigate to the outline properties: open outline select properties change "Typed Measures enable" to TRUE (click to enlarge) As an example, I created two additional members in the ASOSamp outline. - A member "delta Price" in the Measures (Accounts) Dimension with the Formula: ([Original Price],[Curr_year])-([Original Price],[Prev_year])This is equivalent to the Variance Formula used in the "Years" Dimension. - A member "Var_Quickview" in the "Years" Dimension with the same formula as the "Variance" Member.This will be used to simply display a second cell with the same underlying value as Variance - but formatted using Format String hence enabling BOTH in the same report. (click to enlarge) In the outline you now select the member you want the Format String associated with and change the "associated Format String" in the Member Properties.As you can see in this example an IIF statement reading:MdxFormat(IIF(CellValue()< 0,"Negative","Positive" ) ) has been chosen for both new members.After applying the Format String changes and running a report via SmartView, the result is: (click to enlarge) reference: Essbase Database Admin Guide ,Chapter 12 "Working with Typed Measures "

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• SSAS Compare version 1.0 released

  - by Red Gate Software BI Tools Team

  We’re pleased to announce that SSAS Compare version 1.0 has been released as a free tool. Version 1.0 includes: Comparisons of live databases and XMLA or Analysis Services Project files MDX syntax diffs and highlighting Server comparisons Deployment wizard with summaries of scripted actions Bug fixes and engine and UI refinements We’ve tested it on as many cube configurations as we could find (not just good old AdventureWorks!), but we can’t provide support for free tools — so if you’re reliant on SSAS Compare for your cube deployment, use it at your own risk. See the user license agreement in the installer for more details. SSAS Compare’s come a long way from its humble beginnings as an internal tool first developed for Red Gate’s own BI developers. Today’s SSAS Compare is now much more stable — not to mention much easier to use — and something the team is proud to have released with Red Gate’s name on. Next: Deployment Manager We’re working on integrating SSAS Compare cube deployment with our new Deployment Manager tool, so you’ll be able to create cube deployment scripts and automate the deployment process, too.  We’re documenting the process in a white paper we’ll publish online in the next week. Thank you! Thanks to all the SSAS Compare users out there. Without your feedback, we could never have produced such a stable product so quickly. We hope you continue to find useful. See you in Deployment Manager!  

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• Facing Null Pointer Exception while using BIRT

  - by srikanth

  Hi, I am using BIRT APIs in a java program.My code is : package com.tecnotree.mdx.product.utils; import java.util.HashMap; import java.util.logging.Level; import org.eclipse.birt.core.exception.BirtException; import org.eclipse.birt.core.framework.Platform; import org.eclipse.birt.report.engine.api.EngineConfig; import org.eclipse.birt.report.engine.api.EngineConstants; import org.eclipse.birt.report.engine.api.HTMLRenderOption; import org.eclipse.birt.report.engine.api.IReportEngine; import org.eclipse.birt.report.engine.api.IReportEngineFactory; import org.eclipse.birt.report.engine.api.IReportRunnable; import org.eclipse.birt.report.engine.api.IRunAndRenderTask; import org.eclipse.birt.report.engine.api.ReportEngine; public class ExampleReport { public static void main(String[] args) { // Variables used to control BIRT Engine instance ReportEngine eng = null; IReportRunnable design = null; IRunAndRenderTask task = null; HTMLRenderOption renderContext = null; HashMap contextMap = null; HTMLRenderOption options = null; final EngineConfig conf = new EngineConfig(); conf .setEngineHome("C:\\birt-runtime-2_5_2\\birt-runtime-2_5_2\\ReportEngine"); System.out.println("conf " + conf.getBIRTHome()); conf.setLogConfig(null, Level.FINE); try { Platform.startup(conf); } catch (BirtException e1) { // TODO Auto-generated catch block e1.printStackTrace(); } IReportEngineFactory factory = (IReportEngineFactory) Platform .createFactoryObject(IReportEngineFactory.EXTENSION_REPORT_ENGINE_FACTORY); System.out.println("Factory : " + factory.toString()); System.out.println(conf.toString()); IReportEngine engine = factory.createReportEngine(conf); System.out.println("Engine : " + engine); try { design = eng .openReportDesign("C:\\birt-runtime-2_5_2\\birt-runtime-2_5_2\\ReportEngine\\samples\\hello_world.rptdesign"); } catch (Exception e) { System.err .println("An error occured during the opening of the report file!"); e.printStackTrace(); System.exit(-1); } task = eng.createRunAndRenderTask(design); renderContext = new HTMLRenderOption(); renderContext.setImageDirectory("image"); contextMap = new HashMap(); contextMap.put(EngineConstants.APPCONTEXT_HTML_RENDER_CONTEXT, renderContext); task.setAppContext(contextMap); options = new HTMLRenderOption(); options.setOutputFileName("c:/temp/output.html"); options.setOutputFormat("html"); task.setRenderOption(options); try { task.run(); } catch (Exception e) { System.err.println("An error occured while running the report!"); e.printStackTrace(); System.exit(-1); } System.out.println("All went well. Closing program!"); eng.destroy(); } } But i am facing NullPointerException while creating the report. STACKTRACE : Exception in thread "main" java.lang.NullPointerException at org.eclipse.birt.report.engine.api.impl.ReportEngine$EngineExtensionManager.<init>(ReportEngine.java:784) at org.eclipse.birt.report.engine.api.impl.ReportEngine.<init>(ReportEngine.java:109) at org.eclipse.birt.report.engine.api.impl.ReportEngineFactory$1.run(ReportEngineFactory.java:18) at org.eclipse.birt.report.engine.api.impl.ReportEngineFactory$1.run(ReportEngineFactory.java:1) at java.security.AccessController.doPrivileged(Native Method) at org.eclipse.birt.report.engine.api.impl.ReportEngineFactory.createReportEngine(ReportEngineFactory.java:14) at com.tecnotree.mdx.product.utils.ExampleReport.main(ExampleReport.java:47) Please help me regarding this... my project deadline has been reached... Appreciate your Reply Thanks in Advance

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• CodePlex Daily Summary for Thursday, March 15, 2012

  CodePlex Daily Summary for Thursday, March 15, 2012Popular ReleasesPulse: Pulse Beta 4: This version is still in development but should include: Logging and error handling have been greatly improved. If you run into an error or Pulse crashes make sure to check the Log folder for a recently modified log file so you can report the details of the issue A bunch of new features for the Wallbase.cc provider. Cleaner separation between inputs, downloading and output. Input and downloading are fairly clean now but outputs are still mixed up in the mix which I'm trying to resolve ...Google Books Downloader for Windows: Google Books Downloader-2.0.0.0.: Google Books DownloaderFinestra Virtual Desktops: 2.5.4501: This is a very minor update release. Please see the information about the 2.5 and 2.5.4500 releases for more information on recent changes. This update did not even have an automatic update triggered for it. Adds error checking and reporting to all threads, not only those with message loopsAcDown????? - Anime&Comic Downloader: AcDown????? v3.9.2: ?? ●AcDown??????????、??、??????，????1M，????，????，?????????????????????????。???????????Acfun、????(Bilibili)、??、??、YouTube、??、???、??????、SF????、????????????。??????AcPlay?????，??????、????????????????。 ● AcDown???????????????????????????，???，???????????????????。 ● AcDown???????C#??，????.NET Framework 2.0??。?????"Acfun?????"。 ????32??64? Windows XP/Vista/7/8 ????????????? ??：????????Windows XP???,?????????.NET Framework 2.0???(x86)，?????"?????????"??? ??????????????，??????????： ??"AcDo...C.B.R. : Comic Book Reader: CBR 0.6: 20 Issue trackers are closed and a lot of bugs too Localize view is now MVVM and delete is working. Added the unused flag (take care that it goes to true only when displaying screen elements) Backstage - new input/output format choice control for the conversion Backstage - Add display, behaviour and register file type options in the extended options dialog Explorer list view has been transformed to a custom control. New group header, colunms order and size are saved Single insta...Windows Azure Toolkit for Windows 8: Windows Azure Toolkit for Windows 8 Consumer Prv: Windows Azure Toolkit for Windows 8 Consumer Preview - Preview Release v 1.2.0 Please download this for Windows Azure Toolkit for Windows 8 functionality on Windows 8 Consumer Preview. The core features of the toolkit include: Automated Install – Scripted install of all dependencies including Visual Studio 2010 Express and the Windows Azure SDK on Windows 8 Consumer Preview. Project Templates – Windows 8 Metro Style app project templates in Dev 11 in both XAML/C# and HTML5/JS with a suppor...CODE Framework: 4.0.20312.0: This version includes significant improvements in the WPF system (and the WPF MVVM/MVC system). This includes new styles for Metro controls and layouts. Improved color handling. It also includes an improved theme/style swapping engine down to active (open) views. There also are various other enhancements and small fixes throughout the entire framework.ScintillaNET: ScintillaNET 2.4: 3/12/2012 Jacob Slusser Added support for annotations. Issues Fixed with this Release Issue # Title 25012 25012 25018 25018 25023 25023 25014 25014 Visual Studio ALM Quick Reference Guidance: v3 - For Visual Studio 11: RELEASE README Welcome to the BETA release of the Quick Reference Guide preview As this is a BETA release and the quality bar for the final Release has not been achieved, we value your candid feedback and recommend that you do not use or deploy these BETA artifacts in a production environment. Quality-Bar Details Documentation has been reviewed by Visual Studio ALM Rangers Documentation has not been through an independent technical review Documentation ...AvalonDock: AvalonDock 2.0.0345: Welcome to early alpha release of AvalonDock 2.0 I've completely rewritten AvalonDock in order to take full advantage of the MVVM pattern. New version also boost a lot of new features: 1) Deep separation between model and layout. 2) Full WPF binding support thanks to unified logical tree between main docking manager, auto-hide windows and floating windows. 3) Support for Aero semi-maximized windows feature. 4) Support for multiple panes in the same floating windows. For a short list of new f...Windows Azure PowerShell Cmdlets: Windows Azure PowerShell Cmdlets 2.2.2: Changes Added Start Menu Item for Easy Startup Added Link to Getting Started Document Added Ability to Persist Subscription Data to Disk Fixed Get-Deployment to not throw on empty slot Simplified numerous default values for cmdlets Breaking Changes: -SubscriptionName is now mandatory in Set-Subscription. -DefaultStorageAccountName and -DefaultStorageAccountKey parameters were removed from Set-Subscription. Instead, when adding multiple accounts to a subscription, each one needs to be added ...IronPython: 2.7.2.1: On behalf of the IronPython team, I'm happy to announce the final release IronPython 2.7.2. This release includes everything from IronPython 54498 and 62475 as well. Like all IronPython 2.7-series releases, .NET 4 is required to install it. Installing this release will replace any existing IronPython 2.7-series installation. Unlike previous releases, the assemblies for all supported platforms are included in the installer as well as the zip package, in the "Platforms" directory. IronPython 2...Kooboo CMS: Kooboo CMS 3.2.0.0: Breaking changes: When upgrade from previous versions, MUST reset the all the content type templates, otherwise the content manager might get a compile error. New features Integrate with Windows azure. See: http://wiki.kooboo.com/?wiki=Kooboo CMS on Azure Complete solution to deploy on load balance servers. See: http://wiki.kooboo.com/?wiki=Kooboo CMS load balance Update Jquery and Jquery ui to the lastest version(Jquery 1.71, Jquery UI 1.8.16). Tree style text content editing. See:h...SubExtractor: Release 1026: Fix: multi-colored bluray subs will no longer result in black blob for OCR Fix: dvds with no language specified will not cause exception in name creation of subtitle files Fix: Root directory Dvds will use volume label as their directory nameExtensions for Reactive Extensions (Rxx): Rxx 1.3: Please read the latest release notes for details about what's new. Related Work Items Content SummaryRxx provides the following features. See the Documentation for details. Many IObservable<T> extension methods and IEnumerable<T> extension methods. Many wrappers that convert asynchronous Framework Class Library APIs into observables. Many useful types such as ListSubject<T>, DictionarySubject<T>, CommandSubject, ViewModel, ObservableDynamicObject, Either<TLeft, TRight>, Maybe<T>, Scala...Skype Auto Recorder: SkypeAutoRecorder 1.2: Fixed the issue when application doesn't record MP3-file for some reason. Implemented support of Skype disconnects and connection problems during conversation. Implemented {duration} placeholder. Improved settings loading. Several code improvements and optimizations. Read more about changes on my blogPlayer Framework by Microsoft: Player Framework for Windows 8 Metro (Preview): Player Framework for HTML/JavaScript and XAML/C# Metro Style Applications. Additional DownloadsIIS Smooth Streaming Client SDK for Windows 8WPF Application Framework (WAF): WAF for .NET 4.5 (Experimental): Version: 2.5.0.440 (Experimental): This is an experimental release! It can be used to investigate the new .NET Framework 4.5 features. The ideas shown in this release might come in a future release (after 2.5) of the WPF Application Framework (WAF). More information can be found in this dicussion post. Requirements .NET Framework 4.5 (The package contains a solution file for Visual Studio 11) The unit test projects require Visual Studio 11 Professional Changelog All: Upgrade all proje...SSH.NET Library: 2012.3.9: There are still few outstanding issues I wanted to include in this release but since its been a while and there are few new features already I decided to create a new release now. New Features Add SOCKS4, SOCKS5 and HTTP Proxy support when connecting to remote server. For silverlight only IP address can be used for server address when using proxy. Add dynamic port forwarding support using ForwardedPortDynamic class. Add new ShellStream class to work with SSH Shell. Add supports for mu...Test Case Import Utilities for Visual Studio 2010 and Visual Studio 11 Beta: V1.2 RTM: This release (V1.2 RTM) includes: Support for connecting to Hosted Team Foundation Server Preview. Support for connecting to Team Foundation Server 11 Beta. Fix to issue with read-only attribute being set for LinksMapping-ReportFile which may have led to problems when saving the report file. Fix to issue with “related links” not being set properly in certain conditions. Fix to ensure that tool works fine when the Excel file contained rich text data. Note: Data is still imported in pl...New ProjectsAjayLabs: ajaylabsAltairStudios.Core: AltairStudios.Core is a MVC framework extension with utils and administrationBdRise: BdRiseBenchmark.NET: Benchmark.NET makes it easier to measure the execution time of a piece of code. Internally it uses System.Diagnostics.Stopwatch so it is of higher precision that querying System.DateTime.Now. Instead of var sw = Stopwatch.StartNew(); int i; for(i = 0; i < 1000; i++) { TestSomePieceOfCode(); } sw.Stop(); var ticksPerIteration = sw.Elapsed.Ticks / i; you can just var result = Benchmark.Sequentially(()=>TestSomePieceOfCode()); Also, you can do parallel benchmarks, use...CodedUITest OrderedTest BatchRunner: CUITBatchRunner makes it easier to create a suite of CodedUITest orderedtests and execute for desired iterations(re-iterates only for failed tests). Execute CUIT orderedtests unattended with or without VSTS 2010 (at least Test Agent) installed. It's developed using C#/.NET 4.0CoseaCRM: Cosea CRM (CRM especializado en empresas de Recursos Humanos)CoseaRecluta2: Sistema de reclutamiento de personal CoseaRH: Sistema de Recursos Humanos InternoDevme.Diagnostics: Diagnostics tools collection for .NETDiplomová práce: Diplomová práceDynamics AX (Axapta) Sync AutoFix: A Dynamics AX 2012 class that will change the IDs of the tables from the SQLDictionary to match the AOT IDs.EHS Parents' Guild Cafeteria Volunteer Reminder System: EHS has a large group of volunteers who assist during lunch time at the school. Volunteers are assigned a specific day of the month, such as the 2nd Monday or the 3rd Friday. There is a need for a reminder email to be sent to volunteers 3-4 days in advance.EladPlus Source Code: EladPlus Source Code Offical EladPlus makes it easier for Everyone to Open Things On your PC. You'll no longer have to Search Things On Your Computer. It's developed in C#. EladPlus 1.0.1 Beta 2 ChangeLog: 1.Spotlight - Search Things Fastly On The Web And On EladPlus 2.EladPlus Utilties System Requirements: Windows 8Dev/Consumer Windows 7 Windows Vista - May Work Slowly Windows XP Adobe Flash Player 10.0 IE 7eSheet - H? th?ng qu?n lý n?i dung: eSheet - H? th?ng qu?n lý n?i dungEwk.Math: Math libraryIndonesia News: Menyajikan berita nasional dan informasi terkini tentang berbagai peristiwa yang terjadi di Indonesia.Liuyi.Phone.StartTileGroup: Liuyi.Phone.StartTileGroup 2012 LiuyiMDX Query Reader: Mdx Query Reader can read mdx queries in ssrs report rdl files with parameters replaced by default values. That way you can transfer your query to ssms and run it without rewriting parameter values manually. Works without installing and is extremely simple to use.Microsoft Script Explorer for Windows PowerShell: Microsoft Script Explorer for Windows PowerShell (Script Explorer) allows users to search for scripts in local and online script repositories such as the TechNet Script Center and PoshCode. Available scripts returned by searching are organized by category, and you can also search for scripts from local and trusted community repositories by applying filters based on focus areas. Search results return code samples, information about script usage, and articles about the scripts. When you find th...Orchard Simple Media Picker: A simple way to fill an input field with the url for a media file in Orchard CMS. POSSchemas: Aplicación Windows Form para generar codigo SQL y codigo C# a partir de tablas en SQL Serverpvmapper: PVMapper is an open source project focused on developing web tools for mapping locations for photovoltaic energy development.Skeleton.NET: Skeleton.NET is targeted to be a RAD Framework for Desktop and Web Applications. It will contain several blocks that are used in application development, like logging ,repository, crud, messaging, ....Softcenter Ado Library: This library can be used to implement runtime polymorphism to support any registered ADO.NET DataProvider. SPBSU IFMO schedule parser ^_^: ?????? ?????????? ? ????? ifmo.ruSudoku Library: Sudoku Library will provide a .Net library capable of creating and solving sudoku puzzles. The goal of this project is to be; light weight, efficient, and fast. This will not include an implementation of the game that is playable.System.Windows.Explorer.ContextMenu: This project aims to make developing Windows Explorer Context Menu shell extensions as simple as possible. The resulting code is event driven and hides all of the Win32 API and Shell Interfaces away from the developer.test2: test2 projektTime Sheet Management: Project personalTvUnit: TvUnit?TvRock????????、??????·???????々?????????????Windows???????????。???????.NET Framework 4.0????????。Vincent: Test projectWPF Table View: WPF DataGrid replacement. Simple WPF control to display a table of data with improved performance. Developed in C#.

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• MS Analysis Services OLAP API for Python

  - by Kaloyan Todorov

  I am looking for a way to connect to a MS Analysis Services OLAP cube, run MDX queries, and pull the results into Python. In other words, exactly what Excel does. Is there a solution in Python that would let me do that? Someone with a similar question going pointed to Django's ORM. As much as I like the framework, this is not what I am looking for. I am also not looking for a way to pull rows and aggregate them -- that's what Analysis Services is for in the first place. Ideas? Thanks.

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• Is it possible to create an efficient UDF alternative to Excel's CUBEVALUE function?

  - by bright

  We'd like to create a simpler alternative to Excel's CUBEVALUE function for retrieving data from an OLAP server. The details aren't critical, but briefly, our function will "know" the source connection and accept a very simple ticker-like parameter and a date, in place of CUBEVALUE's MDX-style parameters. This is for internal use within our firm, just FYI. However, Excel has optimized CUBEVALUE so that calls to the OLAP server are batched. Question: Is there a way to code the new function so that it can similarly batch calls rather than issue a separate query for each cell?

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• The importance of Unit Testing in BI

  - by Davide Mauri

  One of the main steps in the process we internally use to develop a BI solution is the implementation of Unit Test of you BI Data. As you may already know, I’ve create a simple (for now) tool that leverages NUnit to allow us to quickly create Unit Testing without having to resort to use Visual Studio Database Professional: http://queryunit.codeplex.com/ Once you have a tool like this one, you can start also to make sure that your BI solution (DWH and CUBE) is not only structurally sound (I mean, the cube or the report gets processed correctly), but you can also check that the logical integrity of your business rules is enforced. For example let’s say that the customer tell you that they will never create an invoice for a specific product-line in 2010 since that product-line is dismissed and will never be sold again. Ok we know that this in theory is true, but a lot of this business rule effectiveness depends on the fact the people does not do a mistake while inserting new orders/invoices and the ERP used implements a check for this business logic. Unfortunately these last two hypotesis are not always true, so you may find yourself really having some invoices for a product line that doesn’t exists anymore. Maybe this kind of situation in future will be solved using Master Data Management but, meanwhile, how you can give and idea of the data quality to your customers? How can you check that logical integrity of the analytical data you produce is exactly what you expect? Well, Unit Testing of a DWH or a CUBE can be a solution. Once you have defined your test suite, by writing SQL and MDX queries that checks that your data is what you expect to be, if you use NUnit (and QueryUnit does), you can then use a tool like NUnit2Report to create a nice HTML report that can be shipped via email to give information of data quality: In addition to that, since NUnit produces an XML file as a result, you can also import it into a SQL Server Database and then monitor the quality of data over time. I’ll be speaking about this approach (and more in general about how to “engineer” a BI solution) at the next European SQL PASS Adaptive BI Best Practices http://www.sqlpass.org/summit/eu2010/Agenda/ProgramSessions/AdaptiveBIBestPratices.aspx I’ll enjoy discussing with you all about this, so see you there! And remember: “if ain't tested it's broken!” (Sorry I don’t remember how said that in first place :-)) Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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• The importance of Unit Testing in BI

  - by Davide Mauri

  One of the main steps in the process we internally use to develop a BI solution is the implementation of Unit Test of you BI Data. As you may already know, I’ve create a simple (for now) tool that leverages NUnit to allow us to quickly create Unit Testing without having to resort to use Visual Studio Database Professional: http://queryunit.codeplex.com/ Once you have a tool like this one, you can start also to make sure that your BI solution (DWH and CUBE) is not only structurally sound (I mean, the cube or the report gets processed correctly), but you can also check that the logical integrity of your business rules is enforced. For example let’s say that the customer tell you that they will never create an invoice for a specific product-line in 2010 since that product-line is dismissed and will never be sold again. Ok we know that this in theory is true, but a lot of this business rule effectiveness depends on the fact the people does not do a mistake while inserting new orders/invoices and the ERP used implements a check for this business logic. Unfortunately these last two hypotesis are not always true, so you may find yourself really having some invoices for a product line that doesn’t exists anymore. Maybe this kind of situation in future will be solved using Master Data Management but, meanwhile, how you can give and idea of the data quality to your customers? How can you check that logical integrity of the analytical data you produce is exactly what you expect? Well, Unit Testing of a DWH or a CUBE can be a solution. Once you have defined your test suite, by writing SQL and MDX queries that checks that your data is what you expect to be, if you use NUnit (and QueryUnit does), you can then use a tool like NUnit2Report to create a nice HTML report that can be shipped via email to give information of data quality: In addition to that, since NUnit produces an XML file as a result, you can also import it into a SQL Server Database and then monitor the quality of data over time. I’ll be speaking about this approach (and more in general about how to “engineer” a BI solution) at the next European SQL PASS Adaptive BI Best Practices http://www.sqlpass.org/summit/eu2010/Agenda/ProgramSessions/AdaptiveBIBestPratices.aspx I’ll enjoy discussing with you all about this, so see you there! And remember: “if ain't tested it's broken!” (Sorry I don’t remember how said that in first place :-)) Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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• Pro SharePoint 2010 Business Intelligence Solutions

  - by Sahil Malik

  Ad:: SharePoint 2007 Training in .NET 3.5 technologies (more information). Oh yeah baby, it’s out finally! This book is what I wanted to write for so long now, but never really got a chance to. For SharePoint 2007, I authored the SharePoint section of “Smart BI Solutions with SQL Server 2008” for MS Press. But never really got the time, to author a full book that this topic deserved. Until SharePoint 2010, we actually have a full book on this topic. So first things first, I didn’t actually write it. My role was limited to the overall concept, the outline, the layout, completion of it, code samples, identifying what we need in here, vouching for technical accuracy, identifying authors etc. The real work was done by Srini (5 chapters), and Steve (1 chapter). So credit given where it is due. But, with that said, this is a pretty good book. It has always been a challenge to find the superman that knows both, data ware housing concepts, and SharePoint concepts. The data ware housing concepts include basic stuff you need to know to work in the BI area such as cubes, MDX queries, etc. So chapter 1 covers that – and if you’re a hardcore DBA, feel free to skip Chapter 1. Then beyond that, we take every single SharePoint 2010 BI topic, and slice and dice it in detail. The topics we deal with are - Visio Services Reporting services Business Connectivity Services Excel Services PerformancePoint Services And in covering each of these topics, we ensure that a general layout was followed for each topic, to ensure completeness of content. We make sure we cover Setup related issues and advice Point and click usage Code usage, i.e. extensibility using visual studio and a walkthrough of the administration side of things, including powershell. (Yes, I insisted on that in being there in every chapter). Writing a book is always a lot of work, so we hope you find it useful. And it should go very well with the other book I just reviewed, which is Microsoft ADO.NET 4, step by step. Comment on the article ....

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• The Birth of SSAS Compare

  - by Red Gate Software BI Tools Team

  Noemi Moreno, Red Gate Business Intelligence Specialist Software vendors – even Microsoft – tend to forget about the needs of business intelligence developers. We are a rare and rather invisible species. For example, BIDS remained in VS 2008 until SQL Server 2012. It took until this release before we got something as simple as an “undo” function. Before I joined Red Gate as a BI specialist, I worked on SQL Development. I’ll never forget the time I discovered Red Gate’s SQL Compare tool and how it reduced the task of preparing a database release from a couple of days to ten minutes. When I moved to SSAS, MDX and cubes, I became frustrated with the deployment process because I couldn’t find a tool that made Cube releases as easy as they are with SQL Compare. This became my quest. I pitched the idea to a few people in Red Gate’s regular Down Tools Week, when everyone puts down their day-to-day tasks and works on their own projects. My task was to reason with a roomful of cynical developers, hardened to the blandishments of project managers, for help to develop a tool that would compare two different SSAS databases and create the script to process only the objects that needed processing, thereby reducing release time to only a few minutes. I walked to the podium and gave them the full story of the distressed BI specialists, doomed to spend tedious hours preparing deployment scripts. A few developers recovered from their torpor to cast a languid eye at my presentation. It wasn’t enough. In a sudden impulse, I blurted out a promise to perform a flamenco dance for just the team if the tool was able to successfully compare two SSAS databases and generate a script by the end of the week. I was lucky enough that some of them believed me and jumped in: David Pond (Dev), Matt Burton (Dev), Tilman Bregler (Dev), Shobana Sekar (Test), Ruchija Raj (Test), Nick Sutherland (Product Manager) and Irma Tanovic (BI). They didn’t know that Irma and I would be away on a conference in Amsterdam and would leave them without our support. But to my surprise, they had a working tool by the time we came back – basic, and with a few bugs, but a working tool nonetheless! Seeing it compare a very basic SSAS database, detect the changes and generate the scripts was amazing! Something that normally takes half a day was done in under a minute. Since then, a few months have passed and a BI Tools team has been created at Red Gate to work full time on BI tools for BI developers, starting with SSAS Compare. How cool is that? So download the free beta and give us your feedback. And the flamenco? I still need to deliver that. Tilman reminds me every day! I need to get the full flamenco costume.

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