November 2008
Intermediate to advanced
592 pages
20h 13m
English
Content preview from Introduction to Database Systems
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CHAPTER 14
DATA WAREHOUSING, OLAP, AND DATA MINING
After reading this chapter, the reader will understand:
- What are OLTP systems?
- The need of a data warehouse
- Basic characteristics of a data warehouse, which include subject oriented, non-volatile, time varying, and integrated characteristics
- Differences between data warehouse and OLTP systems
- The entire process of getting data into the data warehouse, which is termed as extract, transform, and load (ETL) process
- The importance of metadata repository
- The multidimensional data model for a data warehouse
- The concept of fact and dimension tables
- The two ways of representing multidimensional data in a data warehouse, which include star schema and snowflake schema
- The online analytical processing ...
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