Expanding Open Access to Your OLAP Data

Transcription

1 Expanding Open Access to Your OLAP Data Duane Ressler SAS Institute Inc.

2 Overview By combining the capabilities of Open OLAP Server with Integration Technologies, SAS Institute is working to improve your open access to OLAP data via SAS/MDDB Server software.

3 Introduction! OLAP products traditionally use proprietary API s! Introduction of OLE DB for OLAP has established an industry standard (with SAS Institute leading the way)! Allows mixed OLAP clients and servers to work together! SAS Institute is using Integration Technologies to expand open access and scalability

4 Topics to be Covered! What is OLAP?! What is Integration Technologies?! What is OLE DB for OLAP?! How do IT and OLAP fit together?! Demonstration of Enterprise Guide! OLAP Futures! Questions and Answers

5 Why OLAP?! Understand business drivers! Maintain competitive advantage! Ability to measure effectiveness! Maximize ROI! Single source of up-to-date information! Quick, fast, and easy analysis for diverse audiences

6 What is OLAP?! Ability to slice and dice your data! Fast access to multidimensional information! Easy to use reporting and analysis tool! Data access for the masses

7 OLAP Components Intelligent Server SAS OLAP Landscape Solution Products Full Client Enterprise Clients Support for MDDBs, Hybrid OLAP, OLE DB for OLAP SAS/EIS SAS/AF SAS/IntrNet HTML/CGI MDDB Report Viewer Java webeis webaf OLE DB for OLAP 3rd Party Viewers Intelligent Clients

8 OLAP Components Intelligent Server SAS OLAP Landscape Solution Products Full Client Enterprise Clients Support for MDDBs, Hybrid OLAP, OLE DB for OLAP IOM OLAP SAS/IntrNet SAS/EIS SAS/AF HTML/CGI MDDB Report Viewer Java webeis webaf OLE DB for OLAP 3rd Party Viewers Intelligent Clients

9 What is Integration Technologies?! Enables use of middleware standards to access SAS decision support, business intelligence, and data warehouse components! Based on an Integrated Object Model (IOM)! IOM is used as basis for CORBA and COM/DCOM interfaces, as well as IOM bridge protocol

10 What is OLE DB for OLAP?! Microsoft initiated specification for OLAP data access (part of Universal Data Access)! Extension to OLE DB to accommodate multidimensional OLAP data! COM-based Windows interface accessed from VC++ and ADO MD (for VB and Java)! Allows clients and servers (consumers and providers) that conform to the standard to communicate

11 What is OLE DB for OLAP?! Defines metadata, query, and data interfaces for OLAP data! Schemas! MDX Language! Datasets

12 Multidimensional Metadata! Cubes! Dimensions! Measures! Levels! Properties! Members

13 Multidimensional Expressions (MDX) Language! SQL-like syntax! Query specifies:! Cube(s) to query! Axes! Dimension and level for each axis! Members for each axis! Usually behind the scenes

14 MDX Example SELECT ([1993], [1994]) ON COLUMNS, ([CANADA], [EAST_CANADA], [U.S.A.], [WEST_U.S.A.]) ON ROWS FROM [SAMPLE] WHERE ([PRODUCT_LINE:-ALL-], [PREDICT_SUM])

15 MDX Example SELECT ([1993], [1994]) ON COLUMNS, ([CANADA], [EAST_CANADA], [U.S.A.], [WEST_U.S.A.]) ON ROWS FROM [SAMPLE] WHERE ([PRODUCT_LINE:-ALL-], [PREDICT_SUM])

16 MDX Example SELECT ([1993], [1994]) ON COLUMNS, ([CANADA], [EAST_CANADA], [U.S.A.], [WEST_U.S.A.]) ON ROWS FROM [SAMPLE] WHERE ([PRODUCT_LINE:-ALL-], [PREDICT_SUM])

17 MDX Example SELECT ([1993], [1994]) ON COLUMNS, ([CANADA], [EAST_CANADA], [U.S.A.], [WEST_U.S.A.]) ON ROWS FROM [SAMPLE] WHERE ([PRODUCT_LINE:-ALL-], [PREDICT_SUM])

18 Datasets! Used to access the data returned by an MDX query! Uses multiple axes, not just rows and columns! Data coordinates based on dimension members on each axis

19 How Do IT and OLAP Fit Together?! Defined interface objects for OLAP within IT! IOM OLAP interfaces based on OLE DB for OLAP metadata, MDX, and datasets! Used by Enterprise Clients in Release 8.1! Considering public interfaces in a later release

20 How Do IT and OLAP Fit Together?! Open OLAP Server will be based on IOM interfaces! Provide faster response accessing metadata and MDX queries! Expanded scalability by making use of additional IT features! Transparent migration

21 Demonstration of Enterprise Guide! Using new IOM OLAP interfaces

22 OLAP Futures What s in store for OLAP?! More server scalability by taking advantage of multithreading, multiprocessor architectures, and data file partitioning! Increased emphasis on open data access! Continue trend toward thin client access

23 Conclusion! Open OLAP Server in SAS/MDDB Software is providing open access to OLAP data! SAS/MDDB Server software is continuing to provide new access capabilities and scalability options