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
About the Author
About the Reviewers

Chapter 7. ETL: Transformations and Other Operators

Now we have completed our first mapping, but there is still more to do. The mapping we completed in the previous chapter was simple, as we just took data from our source database and loaded it into a staging table. We were not at all concerned about what format the data was in, and just wanted to get the data into our staging table in the target environment as quickly as possible. The only other operators we needed besides the source and target tables were a Joiner to pull together the source tables for storing in the staging table, an Aggregator to sum up the data, and a Transformation Operator to truncate the date to remove the time portion. In the previous chapter, we made use of only a very small subset of the Warehouse Builder operators to load and transform data from source into target. We will continue building mappings in this chapter to make use of additional features.

We will be introduced to the concept of transformations and...