Riadh Ben Messaoud

Provide principles and concepts related to the implementation of data warehouses

Learn fundamental techniques for developing On-line Analysis Processing (OLAP) tools

Treat issues related to practical use of ad hoc software

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The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling - 2nd Edition, Ralph Kimball, Margy Ross, Wiley and Sons, Inc., 2002.

Building the Data Warehouse - 1st Edition, Bill Inmon, Wiley and Sons, Inc., 1992.

DW 2.0 - Architecture for the Next Generation of Data Warehousing, Bill Inmon, Derek Strauss, Genia Neushloss, Elsevier Press, 2008.

Data Warehousing, OLAP and Data Mining, S. Nagabhushana, New Age International Publishers, 2006.

Building and Maintaining a Data Warehouse, Fon Silvers, CRC Press, 2008.

Data Warehouses and OLAP: Concepts, Architectures and Solutions, Robert Wrembel & Christian Koncilia, IRM Press, 2007.

Oracle Warehouse Builder 11gR2: Getting Started 2011, Bob Griesemer, PacktPublishing, 2011.

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1. The Big Picture2. Data Warehouse Philosophy3. Data Warehouse Concepts4. Warehousing Applications5. Warehouse Schema Design6. Business Intelligence Reporting7. On-Line Analytical Processing8. OLAP Applications9. Data Warehouse Implementation10. Warehousing Software

4Data Warehouses & OLAP

1. The Big Picture2. Data Warehouse Philosophy3. Data Warehouse Concepts4. Warehousing Applications5. Warehouse Schema Design6. Business Intelligence Reporting7. On-Line Analytical Processing8. OLAP Applications9. Data Warehouse Implementation10. Warehousing Software

5Data Warehouses & OLAP

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1977 – Jimmy Carter was President of the United States

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1977 – Star Wars hit the big screen

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1977 – Apple Computer, Inc. introduced to the world the first personal computer

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1981 – Prince Charles and Lady Diana married

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1981 – IBM began selling its IBM PC

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1985 – Mikhail Gorbachev was the leader of the Soviet Union

All along these years:

Data was finding its own home inside computers

Data was going everywhere

Supervisors, managers, and executives alike were no longer able to look at a single clipboard to find out how the business was performing

Such was the origin of Decision Support Systems

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What is a DW?

It is a DB designed for analytical tasks

It uses data from multiple applications

It supports a small number of users with long interactions

Its usage is read-intensive

Its content is periodically updated (mostly additions)

It contains current and historical data

It provides a historical perspectives of information

It contains a few large tables

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What is a DW?

“ A data warehouse is a subject-oriented, integrated, time-variant and non-volatile collection of data in support of management's decision making process. ”

Bill Inmon (Building the Data Warehouse)

“ A data warehouse is a copy of transaction data specifically structured for query and analysis. ”

Ralph Kimball (The Data Warehouse Toolkit)

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