13
ETL into a Time Variant Data Warehouse
The purpose of an Extract, Transform, and Load (ETL) application is to bring data from the enterprise into a data warehouse. That may sound rather simplistic. However, the simplicity of that statement belies the complexities of ETL. In Building and Maintaining a Data Warehouse, Chapter 6 explains the analysis, architecture, design, development, and implementation of an ETL application. If you are reading this chapter intending to learn all you need to know about ETL, please refer to Chapter 6 of Building and Maintaining a Data Warehouse. For a data warehouse rookie, the text of that chapter will provide the foundation information necessary to understand and incorporate the Time Variant ETL design ...
Get Data Warehouse Designs now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.