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What Is OLAP? ,[object Object],[object Object],[object Object],[object Object],[object Object]
IT ONLINE TRAINING & PLACEMENTS Visit us at  http://www.newyorksys.com
The OLAP Market  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Strengths of OLAP ,[object Object],[object Object],[object Object],[object Object],[object Object]
OLAP Is FASMI ,[object Object],[object Object],[object Object],[object Object],[object Object]
Multi-dimensional Data ,[object Object],Dimensions:  Product, Region, Time Hierarchical summarization paths Product  Region  Time Industry  Country  Year Category  Region  Quarter  Product  City  Month  Week   Office  Day Month 1  2 3  4  7 6  5  Product Toothpaste  Juice Cola Milk  Cream Soap  Region W S  N
Data Cube Lattice ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
A Visual Operation:  Pivot (Rotate) 10 47 30 12 Juice Cola Milk  Cream NY LA SF 3/1  3/2  3/3 3/4 Date Month Region Product
“ Slicing and Dicing” Product Sales Channel Regions Retail Direct Special Household Telecomm Video Audio India Far East Europe The Telecomm Slice
Roll-up and Drill Down ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Roll Up Higher Level of Aggregation Low-level Details Drill-Down
Nature of OLAP Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Organizationally Structured Data ,[object Object],marketing manufacturing sales finance
Multidimensional Spreadsheets ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
OLAP - Data Cube ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SQL Extensions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Relational OLAP:  3 Tier DSS Store atomic data in industry standard RDBMS. Generate SQL execution plans in the ROLAP engine to obtain OLAP functionality. Obtain multi-dimensional reports from the DSS Client. Data Warehouse ROLAP Engine Decision Support Client Database Layer Application Logic Layer Presentation Layer
MD-OLAP: 2 Tier DSS MDDB Engine MDDB Engine Decision Support Client Database Layer Application Logic Layer Presentation Layer Store atomic data in a proprietary data structure (MDDB), pre-calculate as many outcomes as possible, obtain OLAP functionality via proprietary algorithms running against this data. Obtain multi-dimensional reports from the DSS Client.
Typical OLAP Problems  Data Explosion Data Explosion Syndrome Number of Dimensions Number of Aggregations (4 levels in each dimension) Microsoft TechEd’98
Metadata Repository ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Metdata Repository .. 2 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Recipe for a Successful Warehouse
For a Successful Warehouse ,[object Object],[object Object],[object Object],[object Object]
For a Successful Warehouse ,[object Object],[object Object],[object Object],[object Object]
For a Successful Warehouse ,[object Object],[object Object],[object Object],[object Object]
Data Warehouse Pitfalls ,[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehouse Pitfalls ,[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehouse Pitfalls ,[object Object],[object Object],[object Object],[object Object],[object Object]
DW and OLAP Research Issues ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
DW and OLAP Research Issues .. 2 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
IT ONLINE TRAINING & PLACEMENTS Visit us at  http://www.newyorksys.com

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What is OLAP -Data Warehouse Concepts - IT Online Training @ Newyorksys

  • 1.
  • 2. IT ONLINE TRAINING & PLACEMENTS Visit us at http://www.newyorksys.com
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8. A Visual Operation: Pivot (Rotate) 10 47 30 12 Juice Cola Milk Cream NY LA SF 3/1 3/2 3/3 3/4 Date Month Region Product
  • 9. “ Slicing and Dicing” Product Sales Channel Regions Retail Direct Special Household Telecomm Video Audio India Far East Europe The Telecomm Slice
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16. Relational OLAP: 3 Tier DSS Store atomic data in industry standard RDBMS. Generate SQL execution plans in the ROLAP engine to obtain OLAP functionality. Obtain multi-dimensional reports from the DSS Client. Data Warehouse ROLAP Engine Decision Support Client Database Layer Application Logic Layer Presentation Layer
  • 17. MD-OLAP: 2 Tier DSS MDDB Engine MDDB Engine Decision Support Client Database Layer Application Logic Layer Presentation Layer Store atomic data in a proprietary data structure (MDDB), pre-calculate as many outcomes as possible, obtain OLAP functionality via proprietary algorithms running against this data. Obtain multi-dimensional reports from the DSS Client.
  • 18. Typical OLAP Problems Data Explosion Data Explosion Syndrome Number of Dimensions Number of Aggregations (4 levels in each dimension) Microsoft TechEd’98
  • 19.
  • 20.
  • 21. Recipe for a Successful Warehouse
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31. IT ONLINE TRAINING & PLACEMENTS Visit us at http://www.newyorksys.com