Post on 24-Dec-2015
Data Warehousing
Introduction
Text and Resources
The Data Warehouse Lifecycle Toolkit, Kimball, Reeves, Ross, and Thornthwaite
Internet resources
Data Warehousing Institute
Teradata Institute
Intelligent Enterprise
Data Warehouse Approach
An old idea with a new interest:
Cheap Computing Power
Special Purpose Hardware
New Data Structures
Intelligent Software
Heightened Business Competition
Data Warehouse
“Queryable source of data in the enterprise”
Common source of consistent organizational information
Identify problems and opportunities
User focused
Retrieval focused
Goals of the Course
Understand the Data Warehouse philosophy
Dimensional modeling
Tools for Warehouse management
Business intelligence
Business practice
What To Expect
Help develop course expectations for the future
Two tests
Exercises and a semester project
Graduate Presentation
What is a data warehouse?
A database filled with large volumes of cross-indexed historical business information that users can access with various query tools.
The warehouse usually resides on its own server and is separate from the transaction-processing or “run-the-business” systems.
Purpose of a data warehouse
Provides an architecture for the flow of data from operational systems to decision support systems DW involves a many record analysis, during
which all data has to be locked
Used to discover trends and patterns Present opportunities Identify problems
ROI of data warehouses
New insights into Customer habits Developing new products Selling more products
Cost savings and revenue increasesCross-selling of productsLess mainframe computer storageIdentify and target most profitable customers
Capital outlay and development/training time can be extraordinary.Quality of system outputLevels of riskIntangibles
Cio.com (middle ground)
Course Outline
Introduction and basic principles
Data extraction: SQL data definition code
Warehouse Architecture: Dimensional Modeling
Data Cleansing: SAS Datastep coding
Data Presentation: MS Analysis Services