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What’s new in SQL 2008 BI <ul><li>Lynn Langit Developer Evangelist SoCal </li></ul><ul><li>http://blogs.msdn.com/SoCalDevG...
Session Objectives and Agenda <ul><ul><li>Understand what’s new in SQL 2008 for BI </li></ul></ul><ul><ul><ul><li>SSAS </l...
SQL Server 2008 BI Focus Areas
New in SSAS for OLAP Cubes
Demo  – SSAS Cubes
New in SSAS for Data Mining
New in Excel Integration
Demo – Data Mining and Excel integration
New in SSIS
Demo – SSIS
New in SSRS & SharePoint
Summary <ul><li>Focus areas for SQL Server 2008 performance </li></ul><ul><ul><li>Usability – particularly around ease of ...
DM Webcasts Fri, 02 Nov 2007 MSDN Webcast: Build Smart Web Applications with SQL Server Data Mining (Level 200) Thu, 08 No...
BI Resources from Lynn Langit 1. “Foundations of SQL Server 2005 Business Intelligence” (published by APress in April 2007...
DM Resources Technical Communities, Webcasts, Blogs, Chats & User Groups http://www.microsoft.com/communities/default.mspx...
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BI2008newFeatures

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New features in SQL Server 2008 for BI

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BI2008newFeatures

  1. 1. What’s new in SQL 2008 BI <ul><li>Lynn Langit Developer Evangelist SoCal </li></ul><ul><li>http://blogs.msdn.com/SoCalDevGal </li></ul>
  2. 2. Session Objectives and Agenda <ul><ul><li>Understand what’s new in SQL 2008 for BI </li></ul></ul><ul><ul><ul><li>SSAS </li></ul></ul></ul><ul><ul><ul><ul><li>OLAP cubes </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Data Mining Structures </li></ul></ul></ul></ul><ul><ul><ul><li>SSIS </li></ul></ul></ul><ul><ul><ul><li>Clients </li></ul></ul></ul><ul><ul><ul><ul><li>Excel </li></ul></ul></ul></ul><ul><ul><ul><ul><li>SharePoint </li></ul></ul></ul></ul><ul><ul><ul><ul><li>SSRS </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Performance Point </li></ul></ul></ul></ul>
  3. 3. SQL Server 2008 BI Focus Areas
  4. 4. New in SSAS for OLAP Cubes
  5. 5. Demo – SSAS Cubes
  6. 6. New in SSAS for Data Mining
  7. 7. New in Excel Integration
  8. 8. Demo – Data Mining and Excel integration
  9. 9. New in SSIS
  10. 10. Demo – SSIS
  11. 11. New in SSRS & SharePoint
  12. 12. Summary <ul><li>Focus areas for SQL Server 2008 performance </li></ul><ul><ul><li>Usability – particularly around ease of design </li></ul></ul><ul><ul><li>Performance & Scalability </li></ul></ul><ul><ul><li>Simplified configuration and management </li></ul></ul>
  13. 13. DM Webcasts Fri, 02 Nov 2007 MSDN Webcast: Build Smart Web Applications with SQL Server Data Mining (Level 200) Thu, 08 Nov 2007 MSDN Webcast: Building Adaptive Applications with SQL Server Data Mining (Level 300) Mon, 19 Nov 2007 MSDN Webcast: Extending and Customizing SQL Server Data Mining (Level 300) Fri, 30 Nov 2007 MSDN Webcast: Creating Visualizations for SQL Server Data Mining (Level 300) Thu, 01 Nov 2007 TechNet Webcast: Deliver Actionable Insight Throughout Your Organization with Data Mining (Part 1 of 3): Your First Project with SQL Server Data Mining (Level 200) Thu, 15 Nov 2007 TechNet Webcast: Deliver Actionable Insight Throughout Your Organization with Data Mining (Part 2 of 3): Understand SQL Server Data Mining Add-ins for the 2007 Office System (Level 200) Thu, 29 Nov 2007 TechNet Webcast: Deliver Actionable Insight Throughout Your Organization with Data Mining (Part 3 of 3): Use Predictive Intelligence to Create Smarter KPIs (Level 200)
  14. 14. BI Resources from Lynn Langit 1. “Foundations of SQL Server 2005 Business Intelligence” (published by APress in April 2007) 2. http://blogs.msdn.com/SoCalDevGal 3. “Smart Business Intelligence Solutions with Microsoft SQL Server 2008” (MSPress Fall 2008)
  15. 15. DM Resources Technical Communities, Webcasts, Blogs, Chats & User Groups http://www.microsoft.com/communities/default.mspx Microsoft Developer Network (MSDN) & TechNet http://microsoft.com/msdn http://microsoft.com/technet Trial Software and Virtual Labs http://www.microsoft.com/technet/downloads/trials/default.mspx Microsoft Learning and Certification http://www.microsoft.com/learning/default.mspx SQL Server Data Mining http://www.sqlserverdatamining.com http://www.microsoft.com/bi/bicapabilities/data-mining.aspx

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