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

Summary


Now we are real close to actually having a data warehouse built in our database. We've completed all the mappings that we will need for the Warehouse Builder to create the code that will run to actually pull data from our source system, load our staging table, and then load our target data warehouse structure from our staging table.

We've seen how to use Transformation operators to apply functions to our data to change it before loading. We've also seen the Expression operator for entering custom expressions. We've taken a look at how to connect them together with source and target operators to complete a mapping and successfully validate them.

Now we're ready to deploy these mappings to the database and execute them to actually load our data, which we will do in the next chapter.