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  • SQL SERVER – SSIS Look Up Component – Cache Mode – Notes from the Field #028

    - by Pinal Dave
    [Notes from Pinal]: Lots of people think that SSIS is all about arranging various operations together in one logical flow. Well, the understanding is absolutely correct, but the implementation of the same is not as easy as it seems. Similarly most of the people think lookup component is just component which does look up for additional information and does not pay much attention to it. Due to the same reason they do not pay attention to the same and eventually get very bad performance. Linchpin People are database coaches and wellness experts for a data driven world. In this 28th episode of the Notes from the Fields series database expert Tim Mitchell (partner at Linchpin People) shares very interesting conversation related to how to write a good lookup component with Cache Mode. In SQL Server Integration Services, the lookup component is one of the most frequently used tools for data validation and completion.  The lookup component is provided as a means to virtually join one set of data to another to validate and/or retrieve missing values.  Properly configured, it is reliable and reasonably fast. Among the many settings available on the lookup component, one of the most critical is the cache mode.  This selection will determine whether and how the distinct lookup values are cached during package execution.  It is critical to know how cache modes affect the result of the lookup and the performance of the package, as choosing the wrong setting can lead to poorly performing packages, and in some cases, incorrect results. Full Cache The full cache mode setting is the default cache mode selection in the SSIS lookup transformation.  Like the name implies, full cache mode will cause the lookup transformation to retrieve and store in SSIS cache the entire set of data from the specified lookup location.  As a result, the data flow in which the lookup transformation resides will not start processing any data buffers until all of the rows from the lookup query have been cached in SSIS. The most commonly used cache mode is the full cache setting, and for good reason.  The full cache setting has the most practical applications, and should be considered the go-to cache setting when dealing with an untested set of data. With a moderately sized set of reference data, a lookup transformation using full cache mode usually performs well.  Full cache mode does not require multiple round trips to the database, since the entire reference result set is cached prior to data flow execution. There are a few potential gotchas to be aware of when using full cache mode.  First, you can see some performance issues – memory pressure in particular – when using full cache mode against large sets of reference data.  If the table you use for the lookup is very large (either deep or wide, or perhaps both), there’s going to be a performance cost associated with retrieving and caching all of that data.  Also, keep in mind that when doing a lookup on character data, full cache mode will always do a case-sensitive (and in some cases, space-sensitive) string comparison even if your database is set to a case-insensitive collation.  This is because the in-memory lookup uses a .NET string comparison (which is case- and space-sensitive) as opposed to a database string comparison (which may be case sensitive, depending on collation).  There’s a relatively easy workaround in which you can use the UPPER() or LOWER() function in the pipeline data and the reference data to ensure that case differences do not impact the success of your lookup operation.  Again, neither of these present a reason to avoid full cache mode, but should be used to determine whether full cache mode should be used in a given situation. Full cache mode is ideally useful when one or all of the following conditions exist: The size of the reference data set is small to moderately sized The size of the pipeline data set (the data you are comparing to the lookup table) is large, is unknown at design time, or is unpredictable Each distinct key value(s) in the pipeline data set is expected to be found multiple times in that set of data Partial Cache When using the partial cache setting, lookup values will still be cached, but only as each distinct value is encountered in the data flow.  Initially, each distinct value will be retrieved individually from the specified source, and then cached.  To be clear, this is a row-by-row lookup for each distinct key value(s). This is a less frequently used cache setting because it addresses a narrower set of scenarios.  Because each distinct key value(s) combination requires a relational round trip to the lookup source, performance can be an issue, especially with a large pipeline data set to be compared to the lookup data set.  If you have, for example, a million records from your pipeline data source, you have the potential for doing a million lookup queries against your lookup data source (depending on the number of distinct values in the key column(s)).  Therefore, one has to be keenly aware of the expected row count and value distribution of the pipeline data to safely use partial cache mode. Using partial cache mode is ideally suited for the conditions below: The size of the data in the pipeline (more specifically, the number of distinct key column) is relatively small The size of the lookup data is too large to effectively store in cache The lookup source is well indexed to allow for fast retrieval of row-by-row values No Cache As you might guess, selecting no cache mode will not add any values to the lookup cache in SSIS.  As a result, every single row in the pipeline data set will require a query against the lookup source.  Since no data is cached, it is possible to save a small amount of overhead in SSIS memory in cases where key values are not reused.  In the real world, I don’t see a lot of use of the no cache setting, but I can imagine some edge cases where it might be useful. As such, it’s critical to know your data before choosing this option.  Obviously, performance will be an issue with anything other than small sets of data, as the no cache setting requires row-by-row processing of all of the data in the pipeline. I would recommend considering the no cache mode only when all of the below conditions are true: The reference data set is too large to reasonably be loaded into SSIS memory The pipeline data set is small and is not expected to grow There are expected to be very few or no duplicates of the key values(s) in the pipeline data set (i.e., there would be no benefit from caching these values) Conclusion The cache mode, an often-overlooked setting on the SSIS lookup component, represents an important design decision in your SSIS data flow.  Choosing the right lookup cache mode directly impacts the fidelity of your results and the performance of package execution.  Know how this selection impacts your ETL loads, and you’ll end up with more reliable, faster packages. If you want me to take a look at your server and its settings, or if your server is facing any issue we can Fix Your SQL Server. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: Notes from the Field, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: SSIS

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  • ASP.NET 4.0 and the Entity Framework 4 - Part 2: Perform CRUD Operations Using the Entity Framework

    In this article, Vince demonstrates the usage of the Entity Framework 4 to create, read, update, and delete records in the database which was created in Part 1 of this series. After a short introduction, he discusses the various step involved in the modification of the database, creation of a web form, the selection records to load a drop down list, and the adding, updating, deletion and retrieval of records from the database with the help of relevant source code and screen shots.Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • What is safe to exclude for a full system backup?

    - by seb
    Hi, I'm looking for a list which paths/files are safe to exclude for a full system/home backup. Considering that I have a list of installed packages. /home/*/.thumbnails /home/*/.cache /home/*/.mozilla/firefox/*.default/Cache /home/*/.mozilla/firefox/*.default/OfflineCache /home/*/.local/share/Trash /home/*/.gvfs/ /tmp/ /var/tmp/ not real folders but can cause severe problems when 'restoring' /dev /proc /sys What about... /var/ in general? /var/backups/ - can get quite large /var/log/ - does not require much space and can help for later comparison /lost+found/

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  • Getting a handle on mobile data

    - by Eric Jensen
    Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} written by Ashok Joshi The proliferation of mobile devices in the corporate world is both a blessing as well as a challenge.  Mobile devices improve productivity and the velocity of business for the end users; on the other hand, IT departments need to manage the corporate data and applications that run on these devices. Oracle Database Mobile Server (DMS for short) provides a simple and effective way to deal with the management challenge.  DMS supports data synchronization between a central Oracle database server and data on mobile devices.  It also provides authentication, encryption and application and device management.  Finally, DMS is a highly scalable solution that can be used to manage hundreds of thousands of devices.   Here’s a simplified outline of how such a solution might work. Each device runs local sync and mgmt agents that handle bidirectional data flow with an Oracle enterprise backend, run remote commands, and provide status to the management console. For example, mobile admins could monitor multiple networks of mobile devices, upgrade their software remotely, and even destroy the local database on a compromised device. DMS supports either Oracle Berkeley DB or SQLite for device-local storage, and runs on a wide variety of mobile platforms. The schema for the device-local database is pretty simple – it contains the name of the application that’s installed on the device as well as details such as product name, version number, time of last access etc. Each mobile user has an account on the monitoring system.  DMS supports authentication via the Oracle database authentication mechanisms or alternately, via an external authentication server such as Oracle Identity Management. DMS also provides the option of encrypting the data on disk as well as while it is being synchronized. Whenever a device connects with DMS, it sends the list of all local application changes to the server; the server updates the central repository with this information.  Synchronization can be triggered on-demand, whenever there’s a change on the device (e.g. new application installed or an existing application removed) or via a rule-based schedule (e.g. every Saturday). Synchronization is very fast and efficient, since only the changes are propagated.  This includes resume capability; should synchronization be interrupted for any reason, the next synchronization will resume where the previous synchronization was interrupted. If the device should be lost or stolen, DMS has the capability to remove the applications and/or data from the device. This ability to control access to sensitive data and applications is critical in the corporate environment. The central repository also allows the IT manager to track the kinds of applications that mobile users use and recommend patches and upgrades, while still allowing the mobile user full control over what applications s/he downloads and uses on the device.  This is useful since most devices are used for corporate as well as personal information. In certain restricted use scenarios, the IT manager can also control whether a certain application can be installed on a mobile device.  Should an unapproved application be installed, it can easily be removed the next time the device connects with the central server. Oracle Database mobile server provides a simple, effective and highly secure and scalable solution for managing the data and applications for the mobile workforce.

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  • Announcement Oracle Solaris 11.1 Availability!

    - by uwes
    On 25th of October Oracle announced the availability of Oracle Solaris 11.1. Highlights include: 8x faster database startup and shutdown and online resizing of the database SGA with a new optimized shared memory interface between the database and Oracle Solaris 11.1 Up to 20% throughput increases for Oracle Real Application Clusters by offloading lock management into the Oracle Solaris kernel Expanded support for Software Defined Networks (SDN) with Edge Virtual Bridging enhancements to maximize network resource utilization and manage bandwidth in cloud environments 4x faster Solaris Zone updates with parallel operations shorten maintenance windows New built-in memory predictor monitors application memory use and provides optimized memory page sizes and resource location to speed overall application performance. More information could be found under the following links: Oracle Solaris 11.1 Data Sheet  What's New in Oracle Solaris 11.1 Oracle Solaris 11.1 FAQs Oracle.com Oracle Solaris page Oracle Technology Network Oracle Solaris page Resources for downloading: Download Solaris 11.1 Order Solaris 11.1 media kit Existing customers can quickly and simply update using the network based repository

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  • Design review for application facing memory issues

    - by Mr Moose
    I apologise in advance for the length of this post, but I want to paint an accurate picture of the problems my app is facing and then pose some questions below; I am trying to address some self inflicted design pain that is now leading to my application crashing due to out of memory errors. An abridged description of the problem domain is as follows; The application takes in a “dataset” that consists of numerous text files containing related data An individual text file within the dataset usually contains approx 20 “headers” that contain metadata about the data it contains. It also contains a large tab delimited section containing data that is related to data in one of the other text files contained within the dataset. The number of columns per file is very variable from 2 to 256+ columns. The original application was written to allow users to load a dataset, map certain columns of each of the files which basically indicating key information on the files to show how they are related as well as identify a few expected column names. Once this is done, a validation process takes place to enforce various rules and ensure that all the relationships between the files are valid. Once that is done, the data is imported into a SQL Server database. The database design is an EAV (Entity-Attribute-Value) model used to cater for the variable columns per file. I know EAV has its detractors, but in this case, I feel it was a reasonable choice given the disparate data and variable number of columns submitted in each dataset. The memory problem Given the fact the combined size of all text files was at most about 5 megs, and in an effort to reduce the database transaction time, it was decided to read ALL the data from files into memory and then perform the following; perform all the validation whilst the data was in memory relate it using an object model Start DB transaction and write the key columns row by row, noting the Id of the written row (all tables in the database utilise identity columns), then the Id of the newly written row is applied to all related data Once all related data had been updated with the key information to which it relates, these records are written using SqlBulkCopy. Due to our EAV model, we essentially have; x columns by y rows to write, where x can by 256+ and rows are often into the tens of thousands. Once all the data is written without error (can take several minutes for large datasets), Commit the transaction. The problem now comes from the fact we are now receiving individual files containing over 30 megs of data. In a dataset, we can receive any number of files. We’ve started seen datasets of around 100 megs coming in and I expect it is only going to get bigger from here on in. With files of this size, data can’t even be read into memory without the app falling over, let alone be validated and imported. I anticipate having to modify large chunks of the code to allow validation to occur by parsing files line by line and am not exactly decided on how to handle the import and transactions. Potential improvements I’ve wondered about using GUIDs to relate the data rather than relying on identity fields. This would allow data to be related prior to writing to the database. This would certainly increase the storage required though. Especially in an EAV design. Would you think this is a reasonable thing to try, or do I simply persist with identity fields (natural keys can’t be trusted to be unique across all submitters). Use of staging tables to get data into the database and only performing the transaction to copy data from staging area to actual destination tables. Questions For systems like this that import large quantities of data, how to you go about keeping transactions small. I’ve kept them as small as possible in the current design, but they are still active for several minutes and write hundreds of thousands of records in one transaction. Is there a better solution? The tab delimited data section is read into a DataTable to be viewed in a grid. I don’t need the full functionality of a DataTable, so I suspect it is overkill. Is there anyway to turn off various features of DataTables to make them more lightweight? Are there any other obvious things you would do in this situation to minimise the memory footprint of the application described above? Thanks for your kind attention.

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  • Latest Edition of Security Inside Out Newsletter Now Available

    - by Troy Kitch
    The latest edition of Security Inside Out newsletter is now available. If you don't get this bi-monthly security newsletter in your inbox, then subscribe to get the latest database security news. This bi-monthly edition includes: Q&A: Oracle CSO Mary Ann Davidson on Meeting Tomorrow's Security Threats Oracle Chief Security Officer Mary Ann Davidson shares her thoughts on next-generation security threats.  Read More New Study: Increased Security Spending Still Not Protecting Right Assets Despite widespread belief that database breaches represent the greatest security risk to their business, organizations continue to devote a far greater share of their security resources to network assets rather than database assets, according to a new report issued by CSO and sponsored by Oracle. Read More

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  • Building Private IaaS with SPARC and Oracle Solaris

    - by ferhat
    A superior enterprise cloud infrastructure with high performing systems using built-in virtualization! We are happy to announce the expansion of Oracle Optimized Solution for Enterprise Cloud Infrastructure with Oracle's SPARC T-Series servers and Oracle Solaris.  Designed, tuned, tested and fully documented, the Oracle Optimized Solution for Enterprise Cloud Infrastructure now offers customers looking to upgrade, consolidate and virtualize their existing SPARC-based infrastructure a proven foundation for private cloud-based services which can lower TCO by up to 81 percent(1). Faster time to service, reduce deployment time from weeks to days, and can increase system utilization to 80 percent. The Oracle Optimized Solution for Enterprise Cloud Infrastructure can also be deployed at up to 50 percent lower cost over five years than comparable alternatives(2). The expanded solution announced today combines Oracle’s latest SPARC T-Series servers; Oracle Solaris 11, the first cloud OS; Oracle VM Server for SPARC, Oracle’s Sun ZFS Storage Appliance, and, Oracle Enterprise Manager Ops Center 12c, which manages all Oracle system technologies, streamlining cloud infrastructure management. Thank you to all who stopped by Oracle booth at the CloudExpo Conference in New York. We were also at Cloud Boot Camp: Building Private IaaS with Oracle Solaris and SPARC, discussing how this solution can maximize return on investment and help organizations manage costs for their existing infrastructures or for new enterprise cloud infrastructure design. Designed, tuned, and tested, Oracle Optimized Solution for Enterprise Cloud Infrastructure is a complete cloud infrastructure or any virtualized environment  using the proven documented best practices for deployment and optimization. The solution addresses each layer of the infrastructure stack using Oracle's powerful SPARC T-Series as well as x86 servers with storage, network, virtualization, and management configurations to provide a robust, flexible, and balanced foundation for your enterprise applications and databases.  For more information visit Oracle Optimized Solution for Enterprise Cloud Infrastructure. Solution Brief: Accelerating Enterprise Cloud Infrastructure Deployments White Paper: Reduce Complexity and Accelerate Enterprise Cloud Infrastructure Deployments Technical White Paper: Enterprise Cloud Infrastructure on SPARC (1) Comparison based on current SPARC server customers consolidating existing installations including Sun Fire E4900, Sun Fire V440 and SPARC Enterprise T5240 servers to latest generation SPARC T4 servers. Actual deployments and configurations will vary. (2) Comparison based on solution with SPARC T4-2 servers with Oracle Solaris and Oracle VM Server for SPARC versus HP ProLiant DL380 G7 with VMware and Red Hat Enterprise Linux and IBM Power 720 Express - Power 730 Express with IBM AIX Enterprise Edition and Power VM.

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  • DBaaS Online Forum - Now available on-demand

    - by Javier Puerta
    The Database-as-a-Service Online Forum  was originally broadcasted on Monday, October 21, 2013, at a US-timezones time. All the content of the forum is now available on-demand for customers and partners to watch and listen to. The content is available on demand here. Watch the on-demand forum to hear from analysts and experts on how companies are beginning to transform with Database as a Service, and learn the prescriptive steps your organization can take to design, deploy, and deliver Database as a Service today   Agenda  Keynote Carl Olofson, Research VP, IDC Juan Loaiza, Senior Vice President, Oracle Systems Technology Todd Kimbriel, Director, State of Texas, eGovernment Division Eric Zonneveld, Oracle Architect, KPN James Anthony, Technology Director, e-DBA Breakout 1: Design DBaaS Alan Levine, Senior Director, Oracle Enterprise Architects Breakout 2: Deploy DBaaS Michael Timpanaro-Perrotta, Director of Product Management, Oracle Breakout 3: Deliver DBaaS  Sudip Datta, Vice President of Product Management, Oracle Closing Session Michelle Malcher, IOUG President Juan Loaiza, Senior Vice President, Oracle Systems Technology

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  • DBaaS Online Forum - Now available on-demand

    - by Javier Puerta
    The Database-as-a-Service Online Forum  was originally broadcasted on Monday, October 21, 2013, at a US-timezones time. All the content of the forum is now available on-demand for customers and partners to watch and listen to. The content is available on demand here. Watch the on-demand forum to hear from analysts and experts on how companies are beginning to transform with Database as a Service, and learn the prescriptive steps your organization can take to design, deploy, and deliver Database as a Service today   Agenda  Keynote Carl Olofson, Research VP, IDC Juan Loaiza, Senior Vice President, Oracle Systems Technology Todd Kimbriel, Director, State of Texas, eGovernment Division Eric Zonneveld, Oracle Architect, KPN James Anthony, Technology Director, e-DBA   Breakout 1: Design DBaaS Alan Levine, Senior Director, Oracle Enterprise Architects   Breakout 2: Deploy DBaaS Michael Timpanaro-Perrotta, Director of Product Management, Oracle   Breakout 3: Deliver DBaaS  Sudip Datta, Vice President of Product Management, Oracle   Closing Session Michelle Malcher, IOUG President Juan Loaiza, Senior Vice President, Oracle Systems Technology

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  • Oracle Security Webcast Slides and Replay now available

    - by Alex Blyth
    Hi EveryoneThanks for attending the "Oracle Database Security" last week. Slides are available here Oracle Database Security OverviewView more presentations from Oracle Australia. You can download the replay here. Next week's session is on Oracle Application Express. APEX is one of the best kept secrets in the Oracle database and can be used to make very simple apps such as phone directories all the way to complex knowledge base style apps that are driven heavily by data. You can enroll for this session here. Thanks again Cheers Alex

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  • Corona SDK: Quality of support and resources?

    - by Nick Wiggill
    I've not used Corona SDK before and am looking into it for a friend. (He is also considering Unity.) I wonder what the support is like for Corona? While Unity has a great many customers and so the Unity team can often not address issues directly, the community at large is very helpful and there are many excellent resources: tutorials, forum posts, code resources. What is Corona like in this regard, and by comparison?

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  • Sweet and Sour Source Control

    A recent survey on SQL Server Central showed that most database developers don't use Source Control. At first glance, it's a surprising thought. Unfortunately, the survey didn't ask about the scale of the database development. If there is only one database developer within a schema, who has an automated approach to regular generation of build scripts, then the need for a formal source control system is questionable....Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Újabb házassági terv az adatbázis piacon: Sybase és SAP

    - by Fekete Zoltán
    Az Oracle az utóbbi évben technológiai és alkalmazás oldalon több mint 50 céget vásárolt meg, legutóbb a hardver-operációs rendszer, Java, IDM, virtualizáció és számos más téren is innovatív Sun céget. Ráadásul az Oracle best-of-breed azaz iparági vezeto cégekkel és mogoldásokkal erosíti a portfólióját. Az Oracle hosszú évek óta az adattárházak (data wrehouse) területén is a Gartner szerint a piacvezetok mágikus négyzetében van. Ennek a területnek vezeto megoldása az Oracle Database optimalizált hardveren futtatása az Exadata / Database Machine területen. Az Oracle Database mind tranzakciókezelésre mind adattárház feldolgozásra, mind ezen megoldások egy környezetben futtatására optimalizált megoldás. Az SAP korábban meglehetosen elítélte az Oracle best-of-breed felvásárlási stratégiáját, mondván az nem vezet semmire. :) Most a megmaradék önálló cégek közül a Sybase-t szemelte ki. A BBC híre. Kicsit soknak tunik az 5,8 milliárd dollár? Érdekes, hogy a cikk szerint a felvásárlási terv hírére az SAP részvény árfolyam 40 centtel esett.

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  • Spotlight on RIVA: CRM integration for Oracle CRM on Demand and Microsoft Exchange

    - by Richard Lefebvre
    Introducing Riva from Omni - an Oracle ISV partner specializing in Enterprise Management and Integration Solutions Riva delivers advanced, server-side integration for Oracle CRM On Demand and Microsoft Exchange or even Novell GroupWise. Riva allows Oracle customers to go beyond the standard Outlook plug-in to deliver additional value for the end user as they interact between Outlook and CRM On Demand. Riva syncs CRM On Demand to ALL Exchange mail apps, not just Windows Outlook.  So, whether customers are using Outlook 2010, Outlook Web Access (web client), Outlook 2011 for Mac, Apple Mail, Outlook on Citrix  or a mobile device, Riva's got them covered. There are no plug-ins to be installed, configured, managed and maintained on users' desktops, laptops as Riva delivers Server-side synchronisation for CRMOD and Exchange. The automation of CRM and Outlook integration will remove the reliance upon users to synchronise between the two with Riva handling this process. Riva allows administrators to define sync policies and apply them to individuals or groups of users depending on their sync requirements. Administrators will be able to determine and manage the exposure of the most pertinent detail to be synchronised between Outlook and CRM On Demand. Custom and organic contact filtering for large deployments i.e. Based on ownership, groupings and contact frequency, filters can be applied on what contact records are shared with the users. Riva provides the capability to synchronise CRM and Outlook beyond Contacts, Calendar entries and Email. The synchronisation can be extended to cater for  opportunities, quotes and custom objects for example within the Outlook interface. Riva SmartConvert Folders can automate the creation of opportunities and associated contacts for example if they don't already exist. This can facilitate a reduction in manual detail entry through quick association whilst also benefiting user adoption. From a mobile perspective, Riva allows users to view and manage their CRM On Demand contacts, calendar, tasks, opportunities and cases from iPad, iPhone, Android and BlackBerry devices.  Again, there are no mobile apps or additional plugins to install, configure or manage. We sync CRM On Demand to Exchange.  Because the mobile device is connected to an Exchange mailbox, the information automatically syncs down to the native address book, calendar and mail apps on the smartphone or tablet. Riva Datasheet for CRM On Demand Riva Brochure – Oracle CRM On Demand  Technical Knowledgebase & Riva Trial  http://kb.omni-ts.com/47/ Comparison to Outlook Plug-ins Riva Diagram – Riva Comparison with Outlook Plug-ins Contact: Wolfgang Berger - [email protected]

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  • SQL Saturday #154 | St.Louis, MO

    Sept 15th, 2012 at the CAIT Campus of Washington University in St.Louis - 5 Jackson Avenue, Clayton, MO 63105 SQL Saturday #154 is the very first SQL Saturday event in the St.Louis area. It is a free one day event for SQL Server professionals and those wanting to learn about SQL Server. We are planning on a 4 track event with 200 attendees. We currently have several sessions aligned towards Database Administration, Application Development, Business Intelligence and professional Development Tracks. We also have several sessions focused on SQL Server 2012! Please visit our event website for more details and free registration. Keep your database and application development in syncSQL Connect is a Visual Studio add-in that brings your databases into your solution. It then makes it easy to keep your database in sync, and commit to your existing source control system. Find out more.

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  • Swim into Fun on Your Desktop with the Tropical Fish Theme for Windows 7

    - by Asian Angel
    Do you love watching tropical fish as they swim through serene ocean waters? Then you will definitely want to download the Tropical Fish Theme for Windows 7. The theme comes with nine wallpapers filled with colorful, tropical goodness from the oceanic realms. Download the Tropical Fish Theme [Windows 7 Personalization Gallery] Amazon’s New Kindle Fire Tablet: the How-To Geek Review HTG Explains: How Hackers Take Over Web Sites with SQL Injection / DDoS Use Your Android Phone to Comparison Shop: 4 Scanner Apps Reviewed

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  • Using Transaction Logging to Recover Post-Archived Essbase data

    - by Keith Rosenthal
    Data recovery is typically performed by restoring data from an archive.  Data added or removed since the last archive took place can also be recovered by enabling transaction logging in Essbase.  Transaction logging works by writing transactions to a log store.  The information in the log store can then be recovered by replaying the log store entries in sequence since the last archive took place.  The following information is recorded within a transaction log entry: Sequence ID Username Start Time End Time Request Type A request type can be one of the following categories: Calculations, including the default calculation as well as both server and client side calculations Data loads, including data imports as well as data loaded using a load rule Data clears as well as outline resets Locking and sending data from SmartView and the Spreadsheet Add-In.  Changes from Planning web forms are also tracked since a lock and send operation occurs during this process. You can use the Display Transactions command in the EAS console or the query database MAXL command to view the transaction log entries. Enabling Transaction Logging Transaction logging can be enabled at the Essbase server, application or database level by adding the TRANSACTIONLOGLOCATION essbase.cfg setting.  The following is the TRANSACTIONLOGLOCATION syntax: TRANSACTIONLOGLOCATION [appname [dbname]] LOGLOCATION NATIVE ENABLE | DISABLE Note that you can have multiple TRANSACTIONLOGLOCATION entries in the essbase.cfg file.  For example: TRANSACTIONLOGLOCATION Hyperion/trlog NATIVE ENABLE TRANSACTIONLOGLOCATION Sample Hyperion/trlog NATIVE DISABLE The first statement will enable transaction logging for all Essbase applications, and the second statement will disable transaction logging for the Sample application.  As a result, transaction logging will be enabled for all applications except the Sample application. A location on a physical disk other than the disk where ARBORPATH or the disk files reside is recommended to optimize overall Essbase performance. Configuring Transaction Log Replay Although transaction log entries are stored based on the LOGLOCATION parameter of the TRANSACTIONLOGLOCATION essbase.cfg setting, copies of data load and rules files are stored in the ARBORPATH/app/appname/dbname/Replay directory to optimize the performance of replaying logged transactions.  The default is to archive client data loads, but this configuration setting can be used to archive server data loads (including SQL server data loads) or both client and server data loads. To change the type of data to be archived, add the TRANSACTIONLOGDATALOADARCHIVE configuration setting to the essbase.cfg file.  Note that you can have multiple TRANSACTIONLOGDATALOADARCHIVE entries in the essbase.cfg file to adjust settings for individual applications and databases. Replaying the Transaction Log and Transaction Log Security Considerations To replay the transactions, use either the Replay Transactions command in the EAS console or the alter database MAXL command using the replay transactions grammar.  Transactions can be replayed either after a specified log time or using a range of transaction sequence IDs. The default when replaying transactions is to use the security settings of the user who originally performed the transaction.  However, if that user no longer exists or that user's username was changed, the replay operation will fail. Instead of using the default security setting, add the REPLAYSECURITYOPTION essbase.cfg setting to use the security settings of the administrator who performs the replay operation.  REPLAYSECURITYOPTION 2 will explicitly use the security settings of the administrator performing the replay operation.  REPLAYSECURITYOPTION 3 will use the administrator security settings if the original user’s security settings cannot be used. Removing Transaction Logs and Archived Replay Data Load and Rules Files Transaction logs and archived replay data load and rules files are not automatically removed and are only removed manually.  Since these files can consume a considerable amount of space, the files should be removed on a periodic basis. The transaction logs should be removed one database at a time instead of all databases simultaneously.  The data load and rules files associated with the replayed transactions should be removed in chronological order from earliest to latest.  In addition, do not remove any data load and rules files with a timestamp later than the timestamp of the most recent archive file. Partitioned Database Considerations For partitioned databases, partition commands such as synchronization commands cannot be replayed.  When recovering data, the partition changes must be replayed manually and logged transactions must be replayed in the correct chronological order. If the partitioned database includes any @XREF commands in the calc script, the logged transactions must be selectively replayed in the correct chronological order between the source and target databases. References For additional information, please see the Oracle EPM System Backup and Recovery Guide.  For EPM 11.1.2.2, the link is http://docs.oracle.com/cd/E17236_01/epm.1112/epm_backup_recovery_1112200.pdf

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  • Can Separation of Duties Deter Cybercrime? YES!

    - by roxana.bradescu
    According to the CERT 2010 CyberSecurity Watch Survey: The public may not be aware of the number of incidents because almost three-quarters (72%), on average, of the insider incidents are handled internally without legal action or the involvement of law enforcement. However, cybercrimes committed by insiders are often more costly and damaging than attacks from outside. When asked what security policies and procedures supported or played a role in the deterrence of a potential cybercriminal, 36% said technically-enforced segregation of duties. In fact, many data protection regulations call for separation of duties and enforcement of least privilege. Oracle Database Security solutions can help you meet these requirements and prevent insider threats by preventing privileged IT staff from accessing the data they are charged with managing, ensuring developers and testers don't have access to production data, making sure that all database activity is monitored and audited to prevent abuse, and more. All without changes to your existing applications or costly infrastructure investments. To learn more, watch our Oracle Database Management Separation of Duties for Security and Regulatory Compliance webcast.

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  • Can't Install php5-msql

    - by user210445
    Hello friends I'm finishing the process of installing Apache/Php/mysql installations but this shows up: # sudo apt-get install mysql-server php5-msql Reading package lists... Done Building dependency tree Reading state information... Done E: Unable to locate package php5-msql After some adjustments this happened: angel@Voix:~$ sudo apt-get install mysql-server php5-mysql Reading package lists... Done Building dependency tree Reading state information... Done mysql-server is already the newest version. php5-mysql is already the newest version. The following packages were automatically installed and are no longer required: gir1.2-ubuntuoneui-3.0 libubuntuoneui-3.0-1 thunderbird-globalmenu Use 'apt-get autoremove' to remove them. The following extra packages will be installed: mysql-server-5.5 Suggested packages: tinyca mailx The following packages will be upgraded: mysql-server-5.5 1 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 4 not fully installed or removed. Need to get 0 B/8,827 kB of archives. After this operation, 32.7 MB of additional disk space will be used. Do you want to continue [Y/n]? debconf: DbDriver "config": /var/cache/debconf/config.dat is locked by another process: Resource temporarily unavailable (Reading database ... dpkg: warning: files list file for package `mysql-server-5.5' missing, assuming package has no files currently installed. (Reading database ... 172971 files and directories currently installed.) Preparing to replace mysql-server-5.5 5.5.34-0ubuntu0.12.04.1 (using .../mysql-server-5.5_5.5.34-0ubuntu0.12.04.1_amd64.deb) ... debconf: DbDriver "config": /var/cache/debconf/config.dat is locked by another process: Resource temporarily unavailable dpkg: error processing /var/cache/apt/archives/mysql-server-5.5_5.5.34-0ubuntu0.12.04.1_amd64.deb (--unpack): subprocess new pre-installation script returned error exit status 1 debconf: DbDriver "config": /var/cache/debconf/config.dat is locked by another process: Resource temporarily unavailable dpkg: error while cleaning up: subprocess new post-removal script returned error exit status 1 Errors were encountered while processing: /var/cache/apt/archives/mysql-server-5.5_5.5.34-0ubuntu0.12.04.1_amd64.deb E: Sub-process /usr/bin/dpkg returned an error code (1) angel@Voix:~$ sudo apt-get install mysql-server-5.5 Reading package lists... Done Building dependency tree Reading state information... Done The following packages were automatically installed and are no longer required: gir1.2-ubuntuoneui-3.0 libubuntuoneui-3.0-1 thunderbird-globalmenu Use 'apt-get autoremove' to remove them. Suggested packages: tinyca mailx The following packages will be upgraded: mysql-server-5.5 1 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 4 not fully installed or removed. Need to get 0 B/8,827 kB of archives. After this operation, 32.7 MB of additional disk space will be used. debconf: DbDriver "config": /var/cache/debconf/config.dat is locked by another process: Resource temporarily unavailable (Reading database ... dpkg: warning: files list file for package `mysql-server-5.5' missing, assuming package has no files currently installed. (Reading database ... 172971 files and directories currently installed.) Preparing to replace mysql-server-5.5 5.5.34-0ubuntu0.12.04.1 (using .../mysql-server-5.5_5.5.34-0ubuntu0.12.04.1_amd64.deb) ... debconf: DbDriver "config": /var/cache/debconf/config.dat is locked by another process: Resource temporarily unavailable dpkg: error processing /var/cache/apt/archives/mysql-server-5.5_5.5.34-0ubuntu0.12.04.1_amd64.deb (--unpack): subprocess new pre-installation script returned error exit status 1 debconf: DbDriver "config": /var/cache/debconf/config.dat is locked by another process: Resource temporarily unavailable dpkg: error while cleaning up: subprocess new post-removal script returned error exit status 1 Errors were encountered while processing: /var/cache/apt/archives/mysql-server-5.5_5.5.34-0ubuntu0.12.04.1_amd64.deb E: Sub-process /usr/bin/dpkg returned an error code (1) angel@Voix:~$ sudo apt-get install mysql-server php5-mysql Reading package lists... Done Building dependency tree Reading state information... Done mysql-server is already the newest version. php5-mysql is already the newest version. The following packages were automatically installed and are no longer required: gir1.2-ubuntuoneui-3.0 libubuntuoneui-3.0-1 thunderbird-globalmenu Use 'apt-get autoremove' to remove them. The following extra packages will be installed: mysql-server-5.5 Suggested packages: tinyca mailx The following packages will be upgraded: mysql-server-5.5 1 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 4 not fully installed or removed. Need to get 0 B/8,827 kB of archives. After this operation, 32.7 MB of additional disk space will be used. Do you want to continue [Y/n]? y debconf: DbDriver "config": /var/cache/debconf/config.dat is locked by another process: Resource temporarily unavailable (Reading database ... dpkg: warning: files list file for package `mysql-server-5.5' missing, assuming package has no files currently installed. (Reading database ... 172971 files and directories currently installed.) Preparing to replace mysql-server-5.5 5.5.34-0ubuntu0.12.04.1 (using .../mysql-server-5.5_5.5.34-0ubuntu0.12.04.1_amd64.deb) ... debconf: DbDriver "config": /var/cache/debconf/config.dat is locked by another process: Resource temporarily unavailable dpkg: error processing /var/cache/apt/archives/mysql-server-5.5_5.5.34-0ubuntu0.12.04.1_amd64.deb (--unpack): subprocess new pre-installation script returned error exit status 1 debconf: DbDriver "config": /var/cache/debconf/config.dat is locked by another process: Resource temporarily unavailable dpkg: error while cleaning up: subprocess new post-removal script returned error exit status 1 Errors were encountered while processing: /var/cache/apt/archives/mysql-server-5.5_5.5.34-0ubuntu0.12.04.1_amd64.deb E: Sub-process /usr/bin/dpkg returned an error code (1)

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  • Partner Blog Series: PwC Perspectives - The Gotchas, The Do's and Don'ts for IDM Implementations

    - by Tanu Sood
    Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:12.0pt; mso-para-margin-left:0in; line-height:12.0pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Arial","sans-serif"; mso-ascii-font-family:Arial; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Arial; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} table.MsoTableMediumList1Accent6 {mso-style-name:"Medium List 1 - Accent 6"; mso-tstyle-rowband-size:1; mso-tstyle-colband-size:1; mso-style-priority:65; mso-style-unhide:no; border-top:solid #E0301E 1.0pt; 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mso-table-condition:last-row; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #E0301E; mso-tstyle-border-top-themecolor:accent6; mso-tstyle-border-bottom:1.0pt solid #E0301E; mso-tstyle-border-bottom-themecolor:accent6; color:#968C6D; mso-themecolor:text2; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6FirstCol {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:first-column; mso-style-priority:65; mso-style-unhide:no; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6LastCol {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:last-column; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #E0301E; mso-tstyle-border-top-themecolor:accent6; mso-tstyle-border-bottom:1.0pt solid #E0301E; mso-tstyle-border-bottom-themecolor:accent6; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6OddColumn {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:odd-column; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-shading:#F7CBC7; mso-tstyle-shading-themecolor:accent6; mso-tstyle-shading-themetint:63;} table.MsoTableMediumList1Accent6OddRow {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:odd-row; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-shading:#F7CBC7; mso-tstyle-shading-themecolor:accent6; mso-tstyle-shading-themetint:63;} Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:12.0pt; mso-para-margin-left:0in; line-height:12.0pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Arial","sans-serif"; mso-ascii-font-family:Arial; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Arial; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} table.MsoTableMediumList1Accent6 {mso-style-name:"Medium List 1 - Accent 6"; mso-tstyle-rowband-size:1; mso-tstyle-colband-size:1; mso-style-priority:65; mso-style-unhide:no; border-top:solid #E0301E 1.0pt; mso-border-top-themecolor:accent6; border-left:none; border-bottom:solid #E0301E 1.0pt; mso-border-bottom-themecolor:accent6; border-right:none; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Georgia","serif"; color:black; mso-themecolor:text1; mso-ansi-language:EN-GB;} table.MsoTableMediumList1Accent6FirstRow {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:first-row; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-border-top:cell-none; mso-tstyle-border-bottom:1.0pt solid #E0301E; mso-tstyle-border-bottom-themecolor:accent6; font-family:"Arial Narrow","sans-serif"; mso-ascii-font-family:Georgia; mso-ascii-theme-font:major-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:major-fareast; mso-hansi-font-family:Georgia; mso-hansi-theme-font:major-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:major-bidi;} table.MsoTableMediumList1Accent6LastRow {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:last-row; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #E0301E; mso-tstyle-border-top-themecolor:accent6; mso-tstyle-border-bottom:1.0pt solid #E0301E; mso-tstyle-border-bottom-themecolor:accent6; color:#968C6D; mso-themecolor:text2; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6FirstCol {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:first-column; mso-style-priority:65; mso-style-unhide:no; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6LastCol {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:last-column; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #E0301E; mso-tstyle-border-top-themecolor:accent6; mso-tstyle-border-bottom:1.0pt solid #E0301E; mso-tstyle-border-bottom-themecolor:accent6; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6OddColumn {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:odd-column; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-shading:#F7CBC7; mso-tstyle-shading-themecolor:accent6; mso-tstyle-shading-themetint:63;} table.MsoTableMediumList1Accent6OddRow {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:odd-row; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-shading:#F7CBC7; mso-tstyle-shading-themecolor:accent6; mso-tstyle-shading-themetint:63;} It is generally accepted among business communities that technology by itself is not a silver bullet to all problems, but when it is combined with leading practices, strategy, careful planning and execution, it can create a recipe for success. This post attempts to highlight some of the best practices along with dos & don’ts that our practice has accumulated over the years in the identity & access management space in general, and also in the context of R2, in particular. Best Practices The following section illustrates the leading practices in “How” to plan, implement and sustain a successful OIM deployment, based on our collective experience. Planning is critical, but often overlooked A common approach to planning an IAM program that we identify with our clients is the three step process involving a current state assessment, a future state roadmap and an executable strategy to get there. It is extremely beneficial for clients to assess their current IAM state, perform gap analysis, document the recommended controls to address the gaps, align future state roadmap to business initiatives and get buy in from all stakeholders involved to improve the chances of success. When designing an enterprise-wide solution, the scalability of the technology must accommodate the future growth of the enterprise and the projected identity transactions over several years. Aligning the implementation schedule of OIM to related information technology projects increases the chances of success. As a baseline, it is recommended to match hardware specifications to the sizing guide for R2 published by Oracle. Adherence to this will help ensure that the hardware used to support OIM will not become a bottleneck as the adoption of new services increases. If your Organization has numerous connected applications that rely on reconciliation to synchronize the access data into OIM, consider hosting dedicated instances to handle reconciliation. Finally, ensure the use of clustered environment for development and have at least three total environments to help facilitate a controlled migration to production. If your Organization is planning to implement role based access control, we recommend performing a role mining exercise and consolidate your enterprise roles to keep them manageable. In addition, many Organizations have multiple approval flows to control access to critical roles, applications and entitlements. If your Organization falls into this category, we highly recommend that you limit the number of approval workflows to a small set. Most Organizations have operations managed across data centers with backend database synchronization, if your Organization falls into this category, ensure that the overall latency between the datacenters when replicating the databases is less than ten milliseconds to ensure that there are no front office performance impacts. Ingredients for a successful implementation During the development phase of your project, there are a number of guidelines that can be followed to help increase the chances for success. Most implementations cannot be completed without the use of customizations. If your implementation requires this, it’s a good practice to perform code reviews to help ensure quality and reduce code bottlenecks related to performance. We have observed at our clients that the development process works best when team members adhere to coding leading practices. Plan for time to correct coding defects and ensure developers are empowered to report their own bugs for maximum transparency. Many organizations struggle with defining a consistent approach to managing logs. This is particularly important due to the amount of information that can be logged by OIM. We recommend Oracle Diagnostics Logging (ODL) as an alternative to be used for logging. ODL allows log files to be formatted in XML for easy parsing and does not require a server restart when the log levels are changed during troubleshooting. Testing is a vital part of any large project, and an OIM R2 implementation is no exception. We suggest that at least one lower environment should use production-like data and connectors. Configurations should match as closely as possible. For example, use secure channels between OIM and target platforms in pre-production environments to test the configurations, the migration processes of certificates, and the additional overhead that encryption could impose. Finally, we ask our clients to perform database backups regularly and before any major change event, such as a patch or migration between environments. In the lowest environments, we recommend to have at least a weekly backup in order to prevent significant loss of time and effort. Similarly, if your organization is using virtual machines for one or more of the environments, it is recommended to take frequent snapshots so that rollbacks can occur in the event of improper configuration. Operate & sustain the solution to derive maximum benefits When migrating OIM R2 to production, it is important to perform certain activities that will help achieve a smoother transition. At our clients, we have seen that splitting the OIM tables into their own tablespaces by categories (physical tables, indexes, etc.) can help manage database growth effectively. If we notice that a client hasn’t enabled the Oracle-recommended indexing in the applicable database, we strongly suggest doing so to improve performance. Additionally, we work with our clients to make sure that the audit level is set to fit the organization’s auditing needs and sometimes even allocate UPA tables and indexes into their own table-space for better maintenance. Finally, many of our clients have set up schedules for reconciliation tables to be archived at regular intervals in order to keep the size of the database(s) reasonable and result in optimal database performance. For our clients that anticipate availability issues with target applications, we strongly encourage the use of the offline provisioning capabilities of OIM R2. This reduces the provisioning process for a given target application dependency on target availability and help avoid broken workflows. To account for this and other abnormalities, we also advocate that OIM’s monitoring controls be configured to alert administrators on any abnormal situations. Within OIM R2, we have begun advising our clients to utilize the ‘profile’ feature to encapsulate multiple commonly requested accounts, roles, and/or entitlements into a single item. By setting up a number of profiles that can be searched for and used, users will spend less time performing the same exact steps for common tasks. We advise our clients to follow the Oracle recommended guides for database and application server tuning which provides a good baseline configuration. It offers guidance on database connection pools, connection timeouts, user interface threads and proper handling of adapters/plug-ins. All of these can be important configurations that will allow faster provisioning and web page response times. Many of our clients have begun to recognize the value of data mining and a remediation process during the initial phases of an implementation (to help ensure high quality data gets loaded) and beyond (to support ongoing maintenance and business-as-usual processes). A successful program always begins with identifying the data elements and assigning a classification level based on criticality, risk, and availability. It should finish by following through with a remediation process. Dos & Don’ts Here are the most common dos and don'ts that we socialize with our clients, derived from our experience implementing the solution. Dos Don’ts Scope the project into phases with realistic goals. Look for quick wins to show success and value to the stake holders. Avoid “boiling the ocean” and trying to integrate all enterprise applications in the first phase. Establish an enterprise ID (universal unique ID across the enterprise) earlier in the program. Avoid major UI customizations that require code changes. Have a plan in place to patch during the project, which helps alleviate any major issues or roadblocks (product and database). Avoid publishing all the target entitlements if you don't anticipate their usage during access request. Assess your current state and prepare a roadmap to address your operations, tactical and strategic goals, align it with your business priorities. Avoid integrating non-production environments with your production target systems. Defer complex integrations to the later phases and take advantage of lessons learned from previous phases Avoid creating multiple accounts for the same user on the same system, if there is an opportunity to do so. Have an identity and access data quality initiative built into your plan to identify and remediate data related issues early on. Avoid creating complex approval workflows that would negative impact productivity and SLAs. Identify the owner of the identity systems with fair IdM knowledge and empower them with authority to make product related decisions. This will help ensure overcome any design hurdles. Avoid creating complex designs that are not sustainable long term and would need major overhaul during upgrades. Shadow your internal or external consulting resources during the implementation to build the necessary product skills needed to operate and sustain the solution. Avoid treating IAM as a point solution and have appropriate level of communication and training plan for the IT and business users alike. Conclusion In our experience, Identity programs will struggle with scope, proper resourcing, and more. We suggest that companies consider the suggestions discussed in this post and leverage them to help enable their identity and access program. This concludes PwC blog series on R2 for the month and we sincerely hope that the information we have shared thus far has been beneficial. For more information or if you have questions, you can reach out to Rex Thexton, Senior Managing Director, PwC and or Dharma Padala, Director, PwC. We look forward to hearing from you. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:12.0pt; mso-para-margin-left:0in; line-height:12.0pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Arial","sans-serif"; mso-ascii-font-family:Arial; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Arial; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Meet the Writers: Dharma Padala is a Director in the Advisory Security practice within PwC.  He has been implementing medium to large scale Identity Management solutions across multiple industries including utility, health care, entertainment, retail and financial sectors.   Dharma has 14 years of experience in delivering IT solutions out of which he has been implementing Identity Management solutions for the past 8 years. Praveen Krishna is a Manager in the Advisory Security practice within PwC.  Over the last decade Praveen has helped clients plan, architect and implement Oracle identity solutions across diverse industries.  His experience includes delivering security across diverse topics like network, infrastructure, application and data where he brings a holistic point of view to problem solving. Scott MacDonald is a Director in the Advisory Security practice within PwC.  He has consulted for several clients across multiple industries including financial services, health care, automotive and retail.   Scott has 10 years of experience in delivering Identity Management solutions. John Misczak is a member of the Advisory Security practice within PwC.  He has experience implementing multiple Identity and Access Management solutions, specializing in Oracle Identity Manager and Business Process Engineering Language (BPEL).

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  • How to Eject Your CD/DVD Drive From the Desktop Context Menu

    - by Taylor Gibb
    Most of the time you’ll eject the CD/DVD drive on your PC through a button on the drive, but some laptops don’t include a button. Here’s a way to do it right from the desktop. If you’d like to safely eject USB drives from your desktop, we’ve got you covered with that one too. Amazon’s New Kindle Fire Tablet: the How-To Geek Review HTG Explains: How Hackers Take Over Web Sites with SQL Injection / DDoS Use Your Android Phone to Comparison Shop: 4 Scanner Apps Reviewed

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  • Attachment handling for web application with Jackrabbit

    - by Andrea Girardi
    I need to manage attachments on my Spring web application and I thought to use an open source repository. My app it's a job approval system using J2EE / SPRING 3 Framework and Postgress DB to allow user to tracks the job,right through every step of the approval process. It is a fully managed, collaborative system that operates from a central server and is accessed by a standard internet browser. An user should be able to add an attach to a request or an approval step, so, I though to use Jackrabbit with Postgres database persistence manager. I took a look to this post: http://onjava.com/pub/a/onjava/2006/10/04/what-is-java-content-repository.html?page=1 It's really interesting but, I've some question about this kind of solution :- I seen that Jackrabbit standalone as a Derby database embedded solution for persistence, is it enough for a professional use of the repository with more than 50 request / days (with attachment) ? Is there a reason for which I should use another database manager for persistence instead of the default one ?

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  • No databases showing in phpMyAdmin

    - by Thein Hla Maw
    My website is hosted in shared hosting service and is working fine with updated news stored in MySQL database. To manage the database of website, I install phpMyAdmin in a sub-folder with the same username and password used in website. When I login to phpMyAdmin, I don't see my database. phpMyAdmin is showing "No databases" in left pane. Is there any thing I need to configure in phpMyAdmin? Edited: This is the settings in config.inc.php. I can login to phpMyAdmin successfully. $cfg['Servers'][$i]['host'] = 'hostname'; $cfg['Servers'][$i]['port'] = ''; $cfg['Servers'][$i]['socket'] = ''; $cfg['Servers'][$i]['connect_type'] = 'tcp'; $cfg['Servers'][$i]['extension'] = 'mysqli'; $cfg['Servers'][$i]['auth_type'] = 'cookie'; $cfg['Servers'][$i]['user'] = 'dbuser'; $cfg['Servers'][$i]['password'] = 'password';

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  • How to test issues in a local development environment that can only be introduced by clustering in production?

    - by Brian Reindel
    We recently clustered an application, and it came to light that because of how we're doing SSL offloading via the load balancer in production it didn't work right. I had to mimic this functionality on my local machine by SSL offloading Apache with a proxy, but it still isn't a 1-to-1 comparison. Similar issues can arise when dealing with stateful applications and sticky sessions. What would be the industry standard for testing this kind of production "black box" scenario in a local environment, especially as it relates to clustering?

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