Book Image

Oracle Warehouse Builder 11g: Getting Started

By : Bob Griesemer
Book Image

Oracle Warehouse Builder 11g: Getting Started

By: Bob Griesemer

Overview of this book

In today's economy, businesses and IT professionals cannot afford to lag behind the latest technologies. Data warehousing is a critical area to the success of many enterprises, and Oracle Warehouse Builder is a powerful tool for building data warehouses. It comes free with the latest version of the Oracle database. Written in an accessible, informative, and focused manner, this book will teach you to use Oracle Warehouse Builder to build your data warehouse. Covering warehouse design, the import of source data, the ETL cycle and more, this book will have you up and running in next to no time. This book will walk you through the complete process of planning, building, and deploying a data warehouse using Oracle Warehouse Builder. By the book's end, you will have built your own data warehouse from scratch. Starting with the installation of the Oracle Database and Warehouse Builder software, this book then covers the analysis of source data, designing a data warehouse, and extracting, transforming, and loading data from the source system into the data warehouse. You'll follow the whole process with detailed screenshots of key steps along the way, alongside numerous tips and hints not covered by the official documentation.
Table of Contents (15 chapters)
Oracle Warehouse Builder 11 Getting Started
Credits
About the Author
About the Reviewers
Preface
Index

Preliminary analysis


In any data warehouse project, we are going to need to do some up-front analysis to determine what data will need to be captured into our warehouse. The analysis will tell us where the data is located, and in what format, so that we can begin to define our source data structures in the Warehouse Builder. In our case, we will presume that we have interviewed the management at the ACME Toys and Gizmos company and they have indicated the following:

  • The high-priority information that they would like to see from this data warehouse project is sales-related data for all their stores

  • They don't have an idea about the comparative sales in the various stores, so they need some way to view all that data together to do an analysis that shows how well, or poorly, the stores are doing

  • In the future, they would also like to be able to compare store sales with their web site sales, but that will not be required for this first data warehouse we build

We are doing a very simple analysis...