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Introduction to Data Warehousing BY G.KIRAN KUMAR HT.NO:001-09-06-002
Why Data Warehouse? ,[object Object]
Scenario 1 GK Pvt Ltd is a company with branches at Mumbai, Delhi, Chennai and Banglore. The Sales Manager wants quarterly sales report. Each branch has a separate operational system.
Scenario 1 : GK Pvt Ltd. Mumbai Delhi Chennai Banglore Sales Manager Sales per item type per branch for first quarter.
Solution 1:GK Pvt Ltd. ,[object Object],[object Object]
Solution 1:GK Pvt Ltd. Mumbai Delhi Chennai Banglore Data Warehouse Sales Manager Query & Analysis tools Report
Scenario 2 One Software company has huge  operational database. Whenever Executives wants some report the OLTP system becomes  slow and data entry operators have to wait  for some time.
Scenario 2 : One Software Company Operational Database Data Entry Operator Data Entry Operator Management Wait Report
Solution 2 ,[object Object],[object Object],[object Object],[object Object]
Solution 2 Operational database Data Warehouse Extract data Data Entry Operator Data Entry Operator Manager Report Transaction
Scenario 3 Cakes & Cookies is a small, new company. President of the company wants his company should grow. He needs information so that he can make correct decisions.
Solution 3 ,[object Object],[object Object],[object Object]
Solution 3 Query and Analysis tool President Expansion Improvement sales time Data Warehouse
What is Data Warehouse??
Inmons’s definition A data warehouse is -subject-oriented, -integrated, -time-variant, -nonvolatile collection of data in support of management’s decision making process.
Subject-oriented ,[object Object],[object Object],[object Object]
Integration ,[object Object],[object Object],RDBMS Legacy System Data Warehouse Flat File Data Processing Data Transformation
Time-variant ,[object Object],[object Object]
Nonvolatile ,[object Object],[object Object],[object Object],[object Object],load access
Data Warehousing Architecture
Data Warehouse Architecture ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehouse Schema ,[object Object],[object Object],[object Object]
Star Schema ,[object Object],[object Object],[object Object]
Star Schema (contd..) Store Dimension Time Dimension Product Dimension Fact Table Benefits:  Easy to understand, easy to define hierarchies, reduces no. of physical joins. Store Key Product Key Period Key Units Price Store Key Store Name City State Region Period Key Year Quarter Month Product Key Product Desc
SnowFlake Schema ,[object Object],[object Object],[object Object]
SnowFlake Schema (contd..) Time Dimension Product Dimension Fact Table City Dimension Store Dimension Drawbacks: Time consuming joins,report generation slow Store Key Product Key Period Key Units Price Store Key Store Name City Key Period Key Year Quarter Month Product Key Product Desc City Key City State Region
Fact Constellation ,[object Object],[object Object],[object Object]
Fact Constellation (contd..) Store Dimension Product Dimension Sales Fact Table Shipping Fact Table Store Key Product Key Period Key Units Price Store Key Store Name City State Region Product Key Product Desc Shipper Key Store Key Product Key Period Key Units Price
Building Data Warehouse ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Warehousing includes ,[object Object],[object Object],[object Object],RDBMS Flat File Presentation Cleaning ,Selection & Integration Warehouse & OLAP server Client
Need for Data Warehousing ,[object Object],[object Object],[object Object],[object Object],[object Object]
Advantages Of Data Warehouse ,[object Object],[object Object],[object Object],[object Object],[object Object]
Disadvantages Of Data warehouse ,[object Object],[object Object],[object Object]
CONCLUSION ,[object Object],[object Object],[object Object]
References ,[object Object],[object Object],[object Object],[object Object],[object Object]
Thank You

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introduction to datawarehouse

  • 1. Introduction to Data Warehousing BY G.KIRAN KUMAR HT.NO:001-09-06-002
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  • 3. Scenario 1 GK Pvt Ltd is a company with branches at Mumbai, Delhi, Chennai and Banglore. The Sales Manager wants quarterly sales report. Each branch has a separate operational system.
  • 4. Scenario 1 : GK Pvt Ltd. Mumbai Delhi Chennai Banglore Sales Manager Sales per item type per branch for first quarter.
  • 5.
  • 6. Solution 1:GK Pvt Ltd. Mumbai Delhi Chennai Banglore Data Warehouse Sales Manager Query & Analysis tools Report
  • 7. Scenario 2 One Software company has huge operational database. Whenever Executives wants some report the OLTP system becomes slow and data entry operators have to wait for some time.
  • 8. Scenario 2 : One Software Company Operational Database Data Entry Operator Data Entry Operator Management Wait Report
  • 9.
  • 10. Solution 2 Operational database Data Warehouse Extract data Data Entry Operator Data Entry Operator Manager Report Transaction
  • 11. Scenario 3 Cakes & Cookies is a small, new company. President of the company wants his company should grow. He needs information so that he can make correct decisions.
  • 12.
  • 13. Solution 3 Query and Analysis tool President Expansion Improvement sales time Data Warehouse
  • 14. What is Data Warehouse??
  • 15. Inmons’s definition A data warehouse is -subject-oriented, -integrated, -time-variant, -nonvolatile collection of data in support of management’s decision making process.
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  • 24. Star Schema (contd..) Store Dimension Time Dimension Product Dimension Fact Table Benefits: Easy to understand, easy to define hierarchies, reduces no. of physical joins. Store Key Product Key Period Key Units Price Store Key Store Name City State Region Period Key Year Quarter Month Product Key Product Desc
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  • 26. SnowFlake Schema (contd..) Time Dimension Product Dimension Fact Table City Dimension Store Dimension Drawbacks: Time consuming joins,report generation slow Store Key Product Key Period Key Units Price Store Key Store Name City Key Period Key Year Quarter Month Product Key Product Desc City Key City State Region
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  • 28. Fact Constellation (contd..) Store Dimension Product Dimension Sales Fact Table Shipping Fact Table Store Key Product Key Period Key Units Price Store Key Store Name City State Region Product Key Product Desc Shipper Key Store Key Product Key Period Key Units Price
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Hinweis der Redaktion

  1. we invent something only if there is a need for that thing….today we are going to see what data warehousing is…data warehouse is evolved to satisfy some needs….we will see some of these need now
  2. We need subject oriented and multidimensional data amodel fro data warehouse which facilitates online analysis