1. TNQ400-13

2. How To Use Office 2000 Features In Data Warehousing Michael L. Flakus Senior Consultant BEST Consulting

3. Session Prerequisites  This session assumes that you understand the fundamentals of:  Basic knowledge of Office 2000  Basic knowledge of Microsoft ® SQL Server ™ 7.0  This is a level 200 session

4. What You Will Learn Today  Using Excel 2000 PivotTable and PivotChart to access Multi-Dimensional data  Using PivotTable and Chart Office Web Components (OWC) to access Multi- Dimensional data  Overview of Microsoft SQL Server OLAP services and functionality

5. Definition Of Terms  OLTP – On-Line Transaction Processing  OLAP – On-Line Analytical Processing  OWC – Office Web Components  OLAP Cube  OLAP.cub file  MDX – Multi-Dimensional Extensions

6. Data Warehouse Framework Source: Microsoft SQL Server 7.0 Data Warehousing Framework http://www.microsoft.com/sql/bizsol/datawareframe.htm

7. Software And Components  Office 2000  Excel PivotTable and PivotChart  Office Web Components (OWC) PivotTable and Chart  Excel Microsoft Query  Used to create or open connection to data source  An optional Microsoft Office component  Internet Explorer (IE) 4.01 or greater (OWC do not work with Netscape Navigator)

8. Software Installation Tip  Include Microsoft Query in standard Office 2000 installation for users who will be creating or opening database connections

9. OLAP Data Source Options  OLAP Service Provider  Microsoft OLAP Provider  Third-party OLAP Provider (conform to OLE-DB for OLAP standard and be Office compatible) OLE DB for OLAP Web Site: http://www.microsoft.com/data/oledb/olap/default.htm  Offline Cube files (.cub)

10. About Offline Cube Files  Offline cubes files (.cub) from OLAP data  Can be created using Excel  Include as subset or all data  Allow users to continue working with data when disconnected from network  Can be updated when reconnected  Generally, provide slower performance  Do not include calculated measures  May not be supported by third-party OLAP providers

11. Creating A Data Source  To connect to OLAP data, you create a data source using Microsoft Query  Microsoft Query is invoked either;  While using the PivotTable and PivotChart wizard  Or, directly from the Excel 2000 menu

12. PivotTable Interaction With OLAP Data Sources MDX Query Data Set Results Excel 2000 Client Internet Explorer Client OLAP Data Source OLE DB for OLAP Provider MDX Query Data Set Results

13. Today’s Demo Scenarios  Northwind sales representatives need to analyze company sales data  The Northwind IT department needs to broadly, easily, and securely provide access to the OLAP database  Overview of the process used to create an OLAP database

14. Demo 1  Scenario – Northwind sales representatives need to analyze company sales data  Solution – Provide interactive tools that allow users to view and explore OLAP data

15. PivotTable Options – OLAP  Note “Save data with table layout” is not available  Enabling “Refresh on open” is suggested  Disable “Save password”

16. PivotTable Options – Non-OLAP  For best performance, leave these two Excel PivotTable Options to default values as follows:  “Save table with data layout” enabled  “Refresh on open” disabled  Consider disabling “Save password”

17. Windows NT ® Integrated Security  OLAP uses only Windows NT integrated security  Offline.cub files do not have this protection

18. Best Practices  OLAP Data sources provide best performance for large or frequently refreshed data sets  Selecting and linking data in an OLAP data Source is not required  Offline Cube files do not use Windows NT Security

19. Pop Quiz  What is Microsoft Query used for?  Why do OLAP data sources generally provide better performance with large or frequently accessed data sets? A: Connecting to an OLAP data cube A: They use a client / server architecture and return only the selected data

20. OWC PivotTable And Chart

21. Office Web Components  Office Web Components (OWC) – OWC are included in Office 2000 and behave similarly to other office applications, but operate in an internet environment These components include:  The Spreadsheet Component  The Data Source Component  The Chart Component  The PivotTable Component

22. Demo 2  Scenario – Interest in Northwind’s OLAP data has grown within the company; The IT department needs to broadly, easily, and securely provide access to the OLAP database  Solution – Use the Web to distribute PivotTable and Chart views of OLAP data

23. OWC And Office 2000  No technical dependency  Office 2000 does not need to be installed before deploying OWC  Can coexist with Office 95 and 97  OWC components are licensed with Office 2000  Compatible with Office  Can be deployed before Office 2000

24. OWC Component Install  Create an Office 2000 Install Image using setup.exe /a or the ORK that installs the OWC  Set Codebase Attribute to MSOWC.CAB to call the Web installer control  For more information see Chapter 12 of Programming Microsoft Office 2000 Web Components by Dave Stearns (MS Press, 1999)

25. Pop Quiz  How are Office Web Components Licensed?  Which components are used to access OLAP data? A: With Office 2000 A: PivotTable and Chart  Do the component require Office 2000 to be installed on the workstation? A: No, they can be installed independently

26. Overview Of Microsoft SQL Server OLAP Services And Functionality BuildingUsing

27. Northwind OLTP Schema

28. Northwind Star Schema

29. OLAP Sales Cube

30. OLAP Process Cube Building  Design  Extract  Transform  Load  Process Query Tools  Classic Reports  PivotTable  PivotChart  Security OLAPServer OLTPSources

31. Demo 3  Scenario – Produce OLAP multi-dimensional database from OLTP data source  Solution – Provide tools to enable the creation of multi-dimensional databases

32. OLAP Database Backup And Recovery  The entire database can be backed up with standard file server backup routines  OLAP Add-in Package allows the backing up and restoring of individual OLAP database

33. Best Practices  Clearly communicate to users the structure, origin, and content of the source data  Learn techniques to improve build and viewing performance  OLAP Services: Performance Implications of the Architecture http://msdn.microsoft.com/library/backgrnd/html/olapperf.htm

34. Pop Quiz  What does OLAP represent? A: Online Analytical Processing  What happens in the back room of the process? A: Data is extracted, transformed, and loaded into a multi-dimensional schema  What happens in the front room of the process? A: Data is presented in a secure manner to the end-user for analysis

35. Why OLAP Services And Office 2000? Intelligent aggregations  Significantly smaller databases for same performance  Faster initial and incremental load times Flexible storage architecture  Supports MOLAP, ROLAP, and HOLAP equally well  Application requirements determine storage Ease-of- mgmt  Lower TCO  Broader accessibility of data warehousing PivotTableService  Client-side cache - improves performance  Client/server architecture for Excel PivotTables

36. Questions And Answers

37. For More Information  Refer to the TechNet website at  www.microsoft.com/technet/ www.microsoft.com/technet/  Microsoft ® Official Curriculum  MOC website: on www.microsoft.com/train_cert/ www.microsoft.com/train_cert/  Visit our Technology Center on SQL Server  www.microsoft.com/TechNet/SQL www.microsoft.com/TechNet/SQL  IT Professionals User Groups  www.microsoft.com/technet/usergroup/default.asp www.microsoft.com/technet/usergroup/default.asp

38. Suggested Reading  Programming Microsoft Office 2000 Web Components by Dave Stearns, (Aug 1999), Microsoft Press; ISBN: 073560794X  Microsoft OLAP Unleashed by Tim Peterson, Jim Pinkelman, Bob Pfeiff, (Nov 1999) Sams; ISBN: 0672316714  Microsoft OLAP Solutions by Erik Thomsen, George Spofford, Dick Chase, (Jul 1999) John Wiley and Sons; ISBN: 0471332585

39. Suggested Reading  The Data Warehouse Toolkit by Ralph Kimball, (Feb 1996), John Wiley and Sons, ISBN 0471153370  The Data Warehouse Lifecycle Toolkit by Ralph Kimball, Laura Reeves, Margy Ross, Warren Thornwaite, (Aug 1998), John Wiley and Sons, ISBN 0471255475  Data Warehouse Design Solutions by Christopher Adamson, Michael Venerable, ( Jul 1999) John Wiley and Sons; ISBN: 047125195X  The Data Webhouse Toolkit by Ralph Kimball, (Jan 2000), John Wiley and Sons, ISBN 0471376809

40. Session Credits  Author: Michael L. Flakus  Producer/Editor: Mike McWilliams  Thanks to Our Microsoft Technical Field personnel who reviewed this session:  Joel Bubeck  Mark Steel

41. TNQ400-13