Book Image

Oracle Warehouse Builder 11g R2: Getting Started 2011

Book Image

Oracle Warehouse Builder 11g R2: Getting Started 2011

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 that have all been updated for the new Fusion Client Platform interface in 11gR2, alongside numerous tips and hints not covered by the official documentation. You’ll finish up with a brand new chapter on code templates where you’ll implement a complete mapping using JDBC connectivity and code template mappings.
Table of Contents (17 chapters)
Oracle Warehouse Builder 11gR2: Getting Started 2011
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Designing our staging area


We are going to design and build our very first ETL mapping in OWB, but where do we get started? We know we have to pull data from the ACME_POS transactional database as we saw back in Chapter 2. The source data structure in that database is a normalized relational structure, and our target is a dimensional model of a cube and dimensions. This looks like quite a bit of transforming we'll need to do to get the data from our source into our target. We're going to break this down into much smaller chunks, so the process will be easier.

Instead of doing it all at once, we're going to bite off manageable chunks to work on a bit at a time. We will start with the initial extraction of data from the source database into our target database without having to worry about transforming it. Let's just get the complete set of data over to our target database, and then work on populating it into the final structure. This is the role a staging area plays in the process, and this...