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

SALES cube mapping

Turning our attention to the cube, we have one more mapping to create. It will be created in the same way as we created the previous maps, but let's call this one SALES_MAP. In this mapping, we will need to draw data from the POS_TRANS_STAGE table as input as we did for other two dimension maps, and we will have the SALES cube as the output target to load our data. Let's drag each of these onto our mapping using Table Operator for the POS_TRANS_STAGE table and Cube Operator for the SALES cube.

The POS_TRANS_STAGE table is very familiar to us as we have used it for the two dimensions, but the SALES cube is new. It looks slightly different than the dimensions we worked with earlier in this chapter, so let's take a moment to go over it in a little more detail. When dropped onto our mapping and expanded completely, it should look similar to the following:

The top group with visible attributes is the main group for the cube and contains the data elements to which we'll need to...