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• correct Installation and configuration of openJDK and R

  - by Marco K

  I am relatively new to Ubuntu so I wont know a lot of commands that probably became standard to a lot of you guys. I am trying to set up R and with it the necessary java dependencies to install e.g. JGR, rjava, etc. I read through quite a few instructions to do that but somehow I must have done sth wrong. Here is the state of R and java: R --version R version 2.14.1 (2011-12-22) Copyright (C) 2011 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: x86_64-pc-linux-gnu (64-bit) java -version java version "1.6.0_23" OpenJDK Runtime Environment (IcedTea6 1.11pre) (6b23~pre11-0ubuntu1.11.10.1) OpenJDK 64-Bit Server VM (build 20.0-b11, mixed mode) R CMD javareconf Java interpreter : /usr/bin/java Java version : 1.6.0_23 Java home path : /usr/lib/jvm/java-6-openjdk/jre Java compiler : /usr/bin/javac Java headers gen.: /usr/bin/javah Java archive tool: /usr/bin/jar Java library path: /usr/lib/jvm/java-6-openjdk/jre/lib/amd64/server:/usr/lib/jvm/java-6-openjdk/jre/lib/amd64:/usr/lib/jvm/java-6-openjdk/jre/../lib/amd64:/usr/java/packages/lib/amd64:/usr/lib/jni:/lib:/usr/lib JNI linker flags : -L/usr/lib/jvm/java-6-openjdk/jre/lib/amd64/server -L/usr/lib/jvm/java-6-openjdk/jre/lib/amd64 -L/usr/lib/jvm/java-6-openjdk/jre/../lib/amd64 -L/usr/java/packages/lib/amd64 -L/usr/lib/jni -L/lib -L/usr/lib -ljvm JNI cpp flags : But when I try to install 'JavaGD' in R, which is a dependency for JGR I get: ... checking Java support in R... present: interpreter : '/usr/bin/java' cpp flags : '' java libs : '-L/usr/lib/jvm/java-6-openjdk/jre/lib/amd64/server -L/usr/lib/jvm/java-6-openjdk/jre/lib/amd64 -L/usr/lib/jvm/java-6-openjdk/jre/../lib/amd64 -L/usr/java/packages/lib/amd64 -L/usr/lib/jni -L/lib -L/usr/lib -ljvm' configure: error: One or more Java configuration variables are not set. Make sure R is configured with full Java support (including JDK). Run R CMD javareconf as root to add Java support to R. ... Any help would be greatly appreciated. Thanks!

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• Expert Cube Development book finally on Kindle!

  - by Marco Russo (SQLBI)

  The book Expert Cube Development with Microsoft SQL Server 2008 Analysis Services is finally available on Kindle ! I received many requests for that and the last one just a couple of days ago from Greg Low in its useful review . I'm curious to see whether the sales of this book will continue also on Kindle. After 2 years this book is still continuing to sell as in the first months. The content is still fresh and will be good also with the next release of Analysis Services for developing multidimensional...(read more)

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• Basket Analysis with #dax in #powerpivot and #ssas #tabular

  - by Marco Russo (SQLBI)

  A few days ago I published a new article on DAX Patterns web site describing how to implement Basket Analysis in DAX. This topic is a very classical one and is also covered in the many-to-many revolution white paper. It has been also discussed in several blog posts, listed here in historical order: Simple Basket Analysis in DAX by Chris Webb PowerPivot, basket analysis and the hidden many to many by Alberto Ferrari Applied Basket Analysis in Power Pivot using DAX by Gerhard Brueckl As usual, in DAX Patterns we try to present the required DAX formulas in a way that is easy to adapt to specific models. We also try to show a good implementation from a performance point of view. Further optimizations are always possible in DAX. However, in order to keep the model simple to adapt in different scenarios, we avoid presenting optimizations that would require particular assumptions or restrictions on the data model. I hope you will find the Basket Analysis pattern useful. Even if you do not need it today, reading the DAX formula is a good exercise to check your knowledge of evaluation contexts in DAX. For example, describing how does it work the following expression is not a trivial task! [Orders with Both Products] := CALCULATE (     DISTINCTCOUNT ( Sales[SalesOrderNumber] ),     CALCULATETABLE (         SUMMARIZE ( Sales, Sales[SalesOrderNumber] ),         ALL ( Product ),         USERELATIONSHIP ( Sales[ProductCode], 'Filter Product'[Filter ProductCode] )     ) ) The good news is that you can use the patterns even if you do not really understand all the details of the DAX formulas you are using! Any feedback on this new pattern is very welcome.

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• Write DAX queries in Report Builder #ssrs #dax #ssas #tabular

  - by Marco Russo (SQLBI)

  If you use Report Builder with Reporting Services, you can use DAX queries even if the editor for Analysis Services provider does not support DAX syntax. In fact, the DMX editor that you can use in Visual Studio editor of Reporting Services (see a previous post on that), is not available in Report Builder. However, as Sagar Salvi commented in this Microsoft Connect entry, you can use the DAX query text in the query of a Dataset by using the OLE DB provider instead of the Analysis Services one. I think it’s a good idea to show the steps required. First, create a DataSet using the OLE DB connection type, and provide the connection string the provider (Provider), the server name (Data Source) and the database name (Initial Catalog), such as: Provider=MSOLAP;Data Source=SERVERNAME\\TABULAR;Initial Catalog=AdventureWorks Tabular Model SQL 2012 Then, create a Dataset using the data source previously defined, select the Text query type, and write the DAX code in the Query pane: You can also use the Query Designer window, that doesn’t provide any particular help in writing the DAX query, but at least can show a preview of the result of the query execution. I hope DAX will get better editors in the future… in the meantime, remember you can use DAX Studio to write and test your DAX queries, and DAX Formatter to improve their readability!If you want to learn the DAX Query Language, I suggest you watching my video Data Analysis Expressions as a Query Language on Project Botticelli!

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• #DAX Query Plan in SQL Server 2012 #Tabular

  - by Marco Russo (SQLBI)

  The SQL Server Profiler provides you many information regarding the internal behavior of DAX queries sent to a BISM Tabular model. Similar to MDX, also in DAX there is a Formula Engine (FE) and a Storage Engine (SE). The SE is usually handled by Vertipaq (unless you are using DirectQuery mode) and Vertipaq SE Query classes of events gives you a SQL-like syntax that represents the query sent to the storage engine. Another interesting class of events is the DAX Query Plan , which contains a couple...(read more)

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• TechEd NorthAmerica 2010 (and MS BI Conference 2010) Sessions

  - by Marco Russo (SQLBI)

  I just read the Dave Wickert post about his sessions about PowerPivot from Microsoft at TechEd 2010 in New Orleans (June 7-10, 2010) and there are at least two things I’d like to add. First of all, there is also another conference! In fact, this time the Microsoft Business Intelligence Conference 2010 is co-located with TechEd 2010 and all the BI sessions of TechEd…. are sessions of the MS BI Conference too! The second news is that there are many other sessions about PowerPivot at the conference!...(read more)

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• User Group meeting in Copenhagen for #powerpivot

  - by Marco Russo (SQLBI)

  The next Monday, March 21st, I will join a special event organized by the Danish SQL Server User Group , Excelbi.dk and the Swedish SQL Server User Group . The meeting will start at 18:00 at the Radisson Royal Blu in Copenhagen, and this is the topic we will discuss. PowerPivot / BISM and the future of a BI Solution The next version of Analysis Services will offer the BI Semantic Model (BISM) that is based on Vertipaq, the same engine that runs PowerPivot. DAX and PowerPivot have been created as...(read more)

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• Approaching events #mstc11 #ppws #sqlbits

  - by Marco Russo (SQLBI)

  The spring season is always full of events and I’m just preparing for a number of them. First of all, we are getting very good interest for the PowerPivot Workshop in Copenhagen on 21-22 March 2011. Tomorrow (Friday March 4) will be the last day to take advantage of the Early Bird rate for this date. We will also participate to an evening meeting of local user groups on March 21 in Copenhagen, more news about this in the next few days. Other scheduled dates are in Dublin (28-29 March 2011) and in...(read more)

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• How to get multiple open-source projects to use a standard way of doing something.

  - by Marco

  Problem In the last couple weeks, I've used 3 different "repository" tools (listed in alphabetical order): gradle ivy maven I'm calling them "repository" tools because I've also used sbt -- which fortunately uses ivy to manage it's cache or local repository. Each of these tools will create it's own repository. The defaults are: ~/.m2/repository for maven ~/.gradle/cache ~/.ivy2/cache Why can't they all use the same cache? Goal I'd like to change the world so that all three build tools could use the same cache. I'm looking for advice about issues I'm likely to run into and smart ways to get around them. By "use the same cache", I do not mean "retrieve from another build tool's cache". I mean "retrieve from and store in another build tool's cache". While I could go ahead and submit issues to the three projects, I know from experience (as a developer on an open source project), that if you want something done, you're best off getting it done yourself. Also, it seems like I need to get all 3 communities on board to some degree. What is the recommended approach for getting this kind of thing done? How do I approach the different communities? Do I work on patches for the 3 different projects, or would it be better off to create my own "interface" project that deals with these issues and have the 3 tools interface with that? Is this a standards question that I need to address on that front? Lastly, if I'm missing something and this is possible (in an globally configurable fashion), then please let me know.

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• Updates about Multidimensional vs Tabular #ssas #msbi

  - by Marco Russo (SQLBI)

  I recently read the blog post from James Serra Tabular model: Not ready for prime time? (read also the comments because there are discussions about a few points raised by James) and the following post from Christian Wade Multidimensional or Tabular. In the last 2 years I worked with many companies adopting Tabular in different scenarios and I agree with some of the points expressed by James in his post (especially about missing features in Tabular if compared to Multidimensional), but I strongly disagree in others. In general, Tabular is a good choice for a new project when: the development team does not have a good knowledge of Multidimensional and MDX (DAX is faster to learn, not so easy as it is sold by MS, but definitely easier than MDX) you don’t need calculations based on hierarchies (common in certain financial applications, but not so common as it could seem) there are important calculations based on distinct count measures there are complex calculations based on many-to-many relationships Until now, I never suggested to migrate an existing Multidimensional model to a Tabular one. There should be very important reasons for that, such as performance issues in distinct count and many-to-many relationships that cannot be easily solved by optimizing the Multidimensional model, but I still never encountered this scenario. I would say that in 80% of the new projects, you might use either Multidimensional or Tabular and the real difference is the time-to-market depending on the skills of the development team. So it’s not strange that who is used to Multidimensional is not moving to Tabular, not getting a particular benefit from the new model unless specific requirements exist. The recent DAXMD feature that allows using SharePoint Power View on Multidimensional is a really important one, even if I’d like having also Excel Power View enabled for this scenario (this should be just a question of time). Another scenario in which I’m seeing a growing adoption of Tabular is in companies that creates models for their product/service and do that by using XMLA or Tabular AMO 2012. I am used to call them ISVs, even if those providing services cannot be really defined in this way. These companies are facing the multitenancy challenge with Tabular and even if this is a niche market, I see some potential here, because adopting Tabular seems a much more natural choice than Multidimensional in those scenario where an analytical engine has to be embedded to deliver one of the features of a larger product/service delivered to customers. I’d like to see other feedbacks in the comments: tell your story of choosing between Tabular and Multidimensional in a BI project you started with SQL Server 2012, thanks!

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• Possible SWITCH Optimization in DAX – #powerpivot #dax #tabular

  - by Marco Russo (SQLBI)

  In one of the Advanced DAX Workshop I taught this year, I had an interesting discussion about how to optimize a SWITCH statement (which could be frequently used checking a slicer, like in the Parameter Table pattern). Let’s start with the problem. What happen when you have such a statement? Sales :=     SWITCH (         VALUES ( Period[Period] ),         "Current", [Internet Total Sales],         "MTD", [MTD Sales],         "QTD", [QTD Sales],         "YTD", [YTD Sales],          BLANK ()     ) The SWITCH statement is in reality just syntax sugar for a nested IF statement. When you place such a measure in a pivot table, for every cell of the pivot table the IF options are evaluated. In order to optimize performance, the DAX engine usually does not compute cell-by-cell, but tries to compute the values in bulk-mode. However, if a measure contains an IF statement, every cell might have a different execution path, so the current implementation might evaluate all the possible IF branches in bulk-mode, so that for every cell the result from one of the branches will be already available in a pre-calculated dataset. The price for that could be high. If you consider the previous Sales measure, the YTD Sales measure could be evaluated for all the cells where it’s not required, and also when YTD is not selected at all in a Pivot Table. The actual optimization made by the DAX engine could be different in every build, and I expect newer builds of Tabular and Power Pivot to be better than older ones. However, we still don’t live in an ideal world, so it could be better trying to help the engine finding a better execution plan. One student (Niek de Wit) proposed this approach: Selection := IF (     HASONEVALUE ( Period[Period] ),     VALUES ( Period[Period] ) ) Sales := CALCULATE (     [Internet Total Sales],     FILTER (         VALUES ( 'Internet Sales'[Order Quantity] ),         'Internet Sales'[Order Quantity]             = IF (                 [Selection] = "Current",                 'Internet Sales'[Order Quantity],                 -1             )     ) )     + CALCULATE (         [MTD Sales],         FILTER (             VALUES ( 'Internet Sales'[Order Quantity] ),             'Internet Sales'[Order Quantity]                 = IF (                     [Selection] = "MTD",                     'Internet Sales'[Order Quantity],                     -1                 )         )     )     + CALCULATE (         [QTD Sales],         FILTER (             VALUES ( 'Internet Sales'[Order Quantity] ),             'Internet Sales'[Order Quantity]                 = IF (                     [Selection] = "QTD",                     'Internet Sales'[Order Quantity],                     -1                 )         )     )     + CALCULATE (         [YTD Sales],         FILTER (             VALUES ( 'Internet Sales'[Order Quantity] ),             'Internet Sales'[Order Quantity]                 = IF (                     [Selection] = "YTD",                     'Internet Sales'[Order Quantity],                     -1                 )         )     ) At first sight, you might think it’s impossible that this approach could be faster. However, if you examine with the profiler what happens, there is a different story. Every original IF’s execution branch is now a separate CALCULATE statement, which applies a filter that does not execute the required measure calculation if the result of the FILTER is empty. I used the ‘Internet Sales’[Order Quantity] column in this example just because in Adventure Works it has only one value (every row has 1): in the real world, you should use a column that has a very low number of distinct values, or use a column that has always the same value for every row (so it will be compressed very well!). Because the value –1 is never used in this column, the IF comparison in the filter discharge all the values iterated in the filter if the selection does not match with the desired value. I hope to have time in the future to write a longer article about this optimization technique, but in the meantime I’ve seen this optimization has been useful in many other implementations. Please write your feedback if you find scenarios (in both Power Pivot and Tabular) where you obtain performance improvements using this technique!

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• The Many-to-Many Revolution 2.0 #ssas #mdx #dax #m2m

  - by Marco Russo (SQLBI)

  In September 2006 I had announced in this blog the release of the first version of The Many-to-Many Revolution, a whitepaper that describes how to leverage the many-to-many dimension relationships feature that had being available since Analysis Services 2005. The paper contains many generic patterns that can be applied in many common data analysis’ scenarios. More than 5 years later and more then 20.000 unique people that downloaded the 1.0 paper, I am proud to announce that we released The Many-to-Many...(read more)

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• A new clients come into my web agency. How to configure email and social accounts to work better? [on hold]

  - by Marco Panichi

  I created websites for many years but still have not found the right way to organize all the email and social accounts of every clients. I mean, every web agency follows dozens of customers. Each client needs at least Google Analytics, AdWords, a Facebook page, a Twitter profile, a Youtube channel, probably a listing on Google Places and maybe a Mail Chimp (or similar) account. The web agency, in my opinion, must own these accounts, use them to deliver results to the customer and -of course- make them available to the customer for two reasons: - The customer must be able to see how things are going - The client must have the ability to change web agency without suffering The web agency, however, has many problems in having all of these accounts. For example, I like the idea of having a Gmail account for each client and from that account use all the products of Google. But is not possible to create more than many Gmail account from the same ip address and with the same phone number. The web agency could invite the customer to create his own accounts but: - This is not necessary a value for the customer (indeed...) - The web agency would manage them, however, from the same ip address, incurring in problems - If phone verification occurs, the web agency has to disturb the customer for verification Have you the same problem? How to solve it?

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• Common request: export #Tabular model and data to #PowerPivot

  - by Marco Russo (SQLBI)

  I received this request in many courses, messages and also forum discussions: having an Analysis Services Tabular model, it would be nice being able to extract a correspondent PowerPivot data model. In order of priority, here are the specific feature people (including me) would like to see: Create an empty PowerPivot workbook with the same data model of a Tabular model Change the connections of the tables in the PowerPivot workbook extracting data from the Tabular data model Every table should have an EVALUATE ‘TableName’ query in DAX Apply a filter to data extracted from every table For example, you might want to extract all data for a single country or year or customer group Using the same technique of applying filter used for role based security would be nice Expose an API to automate the process of creating a PowerPivot workbook Use case: prepare one workbook for every employee containing only its data, that he can use offline Common request for salespeople who want a mini-BI tool to use in front of the customer/lead/supplier, regardless of a connection available This feature would increase the adoption of PowerPivot and Tabular (and, therefore, Business Intelligence licenses instead of Standard), and would probably raise the sales of Office 2013 / Office 365 driven by ISV, who are the companies who requests this feature more. If Microsoft would do this, it would be acceptable it only works on Office 2013. But if a third-party will do that, it will make sense (for their revenues) to cover both Excel 2010 and Excel 2013. Another important reason for this feature is that the “Offline cube” feature that you have in Excel is not available when your PivotTable is connected to a Tabular model, but it can only be used when you connect to Analysis Services Multidimensional. If you think this is an important features, you can vote this Connect item.

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• Distinct Count of Customers in a SCD Type 2 in #DAX

  - by Marco Russo (SQLBI)

  If you have a Slowly Changing Dimension (SCD) Type 2 for your customer and you want to calculate the number of distinct customers that bought a product, you cannot use the simple formula: Customers := DISTINCTCOUNT( FactTable[Customer Id] ) ) because it would return the number of distinct versions of customers. What you really want to do is to calculate the number of distinct application keys of the customers, that could be a lower number than the number you’ve got with the previous formula. Assuming that a Customer Code column in the Customers dimension contains the application key, you should use the following DAX formula: Customers := COUNTROWS( SUMMARIZE( FactTable, Customers[Customer Code] ) ) Be careful: only the version above is really fast, because it is solved by xVelocity (formerly known as VertiPaq) engine. Other formulas involving nested calculations might be more complex and move computation to the formula engine, resulting in slower query. This is absolutely an interesting pattern and I have to say it’s a killer feature. Try to do the same in Multidimensional…

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• Notepad++ used as DAX editor

  - by Marco Russo (SQLBI)

  If you use PowerPivot and write some DAX formula, don't miss this post on PowerPivotPro blog - if you want to get an external editor for your DAX formula, you can use Notepad++ for free - and adding the customization described in this post by Colin Banfield, you will get function auto-complete and tooltips. Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!...(read more)

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• Write DAX queries in Report Builder #ssrs #dax #ssas #tabular

  - by Marco Russo (SQLBI)

  If you use Report Builder with Reporting Services, you can use DAX queries even if the editor for Analysis Services provider does not support DAX syntax. In fact, the DMX editor that you can use in Visual Studio editor of Reporting Services (see a previous post on that), is not available in Report Builder. However, as Sagar Salvi commented in this Microsoft Connect entry, you can use the DAX query text in the query of a Dataset by using the OLE DB provider instead of the Analysis Services one. I think it’s a good idea to show the steps required. First, create a DataSet using the OLE DB connection type, and provide the connection string the provider (Provider), the server name (Data Source) and the database name (Initial Catalog), such as: Provider=MSOLAP;Data Source=SERVERNAME\\TABULAR;Initial Catalog=AdventureWorks Tabular Model SQL 2012 Then, create a Dataset using the data source previously defined, select the Text query type, and write the DAX code in the Query pane: You can also use the Query Designer window, that doesn’t provide any particular help in writing the DAX query, but at least can show a preview of the result of the query execution. I hope DAX will get better editors in the future… in the meantime, remember you can use DAX Studio to write and test your DAX queries, and DAX Formatter to improve their readability!If you want to learn the DAX Query Language, I suggest you watching my video Data Analysis Expressions as a Query Language on Project Botticelli!

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• Finish feature reverted commits from develop

  - by marco-fiset

  I am using git as a version control system, and using git-flow as the branching model. I started a feature branch some weeks ago in order to maintain the system in a clean state while developping that feature. The main development continued on the develop branch, and changes from develop were merged periodically into the feature, to keep it up to date as much as possible. However came the time where the feature was finished, and I used git-flow's finish feature to merge the feature back into develop. The merge was successfully done, but then I found out that some of the commits I made in develop were reverted by the merge commit! Nowhere in develop or in the feature branch were these changes reverted, I can't see any commit that overwrote them. I just can't find anything. The only theory I have for the moment is that git is failing on me, but that would be extremely unlikely. Maybe I did some kind of wrong manipulation that made this situation come true? I can trace back in the history when the commit was made. I can see that the changes from that commit were reverted by the merge commit. Nowhere in the branch I see a commit that reverts those changes. Yet they were reverted. How is this even possible?

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• Solving security issue in PowerPivot for SharePoint and Power View

  - by Marco Russo (SQLBI)

  I just installed a brand new server (well, a virtual machine) with SharePoint 2010 SP1 and SQL Server 2012 RC0, including PowerPivot and Reporting Services / Power View. The server is joined to the domain I use in our development environment. I published a workbook in the PowerPivot Gallery and my user was immediately able to connect, browse and navigate data of the Excel workbook published by SharePoint. Moreover, I was able to open it in Power View. However, other users failed the connection. After...(read more)

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• #SSAS #Tabular Workshop and Community Events in Netherlands and Denmark

  - by Marco Russo (SQLBI)

  Next week I will finally start the roadshow of the SSAS Tabular Workshop, a 2-day seminar about the new BISM Tabular model for Analysis Services that has been introduced in SQL Server 2012. During these roadshows, we always try to arrange some speeches at local community events in the evening - we already defined for Copenhagen, we have some logistic issue in Amsterdam that we're trying to solve. Here is the timetable: Netherlands SSAS Workshop in Amsterdam, NL – April 16-17, 2012 2-day seminar, I and Alberto will be the trainers for this event, register here We're trying to manage a Community event but we still don't have a confirmation, stay tuned        Denmark SSAS Workshop in Copenhagen, DK – April 26-27, 2012 2-day seminar, I and Alberto will be the trainers for this event, register here Community event on April 26, 2012 This event will run in Hellerup, at Microsoft venue All details available here: http://msbip.dk/events/26/msbip-mode-nr-5/ People from Sweden are welcome! Just register to this private group on LinkedIn in order to announce your presence, so we’ll know how many people will attend In community events we’ll deliver two speeches – here are the descriptions: Inside xVelocity (VertiPaq) PowerPivot and BISM Tabular models in Analysis Services share a great columnar-based database engine called xVelocity in-memory analytics engine (VertiPaq). If you want to improve performance and optimize memory used, you have to understand some basic principles about how this engine works, how data is compressed, and how you can design a data model for better optimization. Prepare yourself to change your mind. xVelocity optimization techniques might seem counterintuitive and are absolutely different than OLAP and SQL ones! Choosing between Tabular and Multidimensional You have a new project and you have to make an important decision upfront. Should you use Tabular or Multidimensional? It is not easy to answer, because sometime there is a clear choice, but most of the times both decisions might be correct, at least at the beginning. In this session we’ll help you making an informed decision, correctly evaluating pros and cons of each one according to common scenarios, considering both short-term and long-term consequences of your choice. I hope to meet many people in this first dates. We have many other events coming in May and June, including an online event (for US time zones), and you can also attend our PreCon Day at TechEd US in Orland (PRC06) or TechEd Europe in Amsterdam. I’ll be a good customer for airline companies in the next three months! I’m just sorry that I hadn’t time to write other articles in the last month, but I’m accumulating material that I will need to write down during some flight – stay tuned…

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• PowerPivot FILTER condition optimizations

  - by Marco Russo (SQLBI)

  In the comments of a recent post from Alberto Ferrari there was an interesting note about different performance related to the order of conditions in a FILTER call. I investigated about that and Jeffrey Wang has been so nice to give me some info about actual implementation that I can share on a blog post. First of all, an important disclaimer: PowerPivot is intended to make life easier, not requiring the user to think how to write the order of elements in a formula just to get better performance....(read more)

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• Rounding functions in DAX

  - by Marco Russo (SQLBI)

  Today I prepared a table of the many rounding functions available in DAX (yes, it’s part of the book we’re writing), so that I have a complete schema of the better function to use, depending on the round operation I need to do. Here is the list of functions used and then the results shown for a relevant set of values. FLOOR = FLOOR( Tests[Value], 0.01 ) TRUNC = TRUNC( Tests[Value], 2 ) ROUNDDOWN = ROUNDDOWN( Tests[Value], 2 ) MROUND = MROUND( Tests[Value], 0.01 ) ROUND = ROUND( Tests[Value], 2 )...(read more)

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• Rounding functions in DAX

  - by Marco Russo (SQLBI)

  Today I prepared a table of the many rounding functions available in DAX (yes, it’s part of the book we’re writing), so that I have a complete schema of the better function to use, depending on the round operation I need to do. Here is the list of functions used and then the results shown for a relevant set of values. FLOOR = FLOOR( Tests[Value], 0.01 ) TRUNC = TRUNC( Tests[Value], 2 ) ROUNDDOWN = ROUNDDOWN( Tests[Value], 2 ) MROUND = MROUND( Tests[Value], 0.01 ) ROUND = ROUND( Tests[Value], 2 )...(read more)

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• New videos available #dax #ssas #powerpivot

  - by Marco Russo (SQLBI)

  The collaboration I and Alberto started with Project Botticelli is starting producing content. At this point we have three videos available: DAX in Action shows the power of DAX in PowerPivot solving common patterns not so easy or fast to solve in other languages DAX: Calculated Columns vs. Measures shows the difference between calculated columns and measures in DAX Introduction to DAX has a content corresponding to the title! The first two videos are freely available, the third one is longer and visible only to subscribers. The goal for this series of video is to reach advanced Excel users and BI developers that are new to DAX. If we should categorize this content, it’s a sort of level 200 session in a conference. I don’t expect readers of this blog to watch this video (if not for the sake of curiosity!) but if you have to explain this subject to anyone else and you have other priorities… well, you can add this post to the list of resources you provide for studying the subject!

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• TechEd North America 2012 – Day 1 #msTechEd

  - by Marco Russo (SQLBI)

  Yesterday I and Alberto delivered the PreCon day about BISM Tabular in Analysis Services 2012. We received very good feedback and now I am looking forward to meet people that read our blogs and our books! Ping me on Twitter at @marcorus if you want to contact me during the conference. This is my schedule for the next few days: ·         Monday, June 11, 2012 o   10:30am-12:30pm I will be in the Technical Learning Center area, at the Breaktrough Insights (station #8) in the Database & Business Intelligence area (dedicated to SQL Server 2012) o   I will try to watch some sessions in the afternoon o   6:30pm-7:00pm I will be at the O’Reilly booth meeting book readers and doing some book signing ·         Tuesday, June 12, 2012 o   12:30pm-3:30pm I will be in the Technical Learning Center area, at the Breaktrough Insights (station #8) in the Database & Business Intelligence area (dedicated to SQL Server 2012) o   5:00pm-6:15pm I will attend the Alberto’s session DBI413 Many-to-Many Relationships in BISM Tabular (room S330E) o   6:15pm-9:00pm Community Night & Ask the Experts, we’ll discuss about Analysis Services, Tabular and Multidimensional! ·         Wednesday, June 13, 2012 o   11:15am-11:30am Don’t miss this special demo session at the Private Cloud, Public Cloud and Data Platform Theater in the Technical Learning Center area (next to the SQL Server 2012 zone). I and Alberto will present Querying multi-billion rows with many to many relationships in SSAS Tabular (xVelocity) and you’re invited to guess the response time of DAX queries on a 4 billion rows table with many-to-many relationships before we run them! We’ll give away some 8GB USB key if you guess the right answer! o   12:30pm-1:00pm I and Alberto will have a book signing session at the TechEd Bookstore o   3:00pm-5:00pm I will be in the Technical Learning Center area, at the Breaktrough Insights (station #8) in the Database & Business Intelligence area (dedicated to SQL Server 2012) ·         Thursday, June 14, 2012 o   2:45pm-4:00pm I will deliver my DBI319 BISM: Multidimensional vs. Tabular breakthrough session in room S320A. I expect many questions here! And if you want to learn more about Analysis Services Tabular, we announced two more online sessions of our SSAS Tabular Workshop: ·         July 2-3, 2012 - SSAS Workshop Online - America's time zone ·         September 3-4, 2012 - SSAS Workshop Online - America's time zone Register now if you are interested, the early bird for the July session expires on June 19, 2012! I will also deliver a SSAS Workshop in Oslo (Norway) on August 27-28, 2012.  

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