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

Synchronizing objects


We created tables, dimensions, and a cube; and new tables were automatically created for each dimension and cube. We then created mappings to map data from tables to tables, dimensions, and a cube. What happens if, let's say for example, a table definition is updated after we've defined it and created a mapping or mappings that include it? What if a dimensional object is changed? In that case, what happens to the underlying table? This is what we are going to discuss in this section.

One set of changes that we'll frequently find ourselves making is changes to the data we've defined for our data warehouse. We may get some new requirements that lead us to capture a new data element that we have not captured yet. We'll need to update our staging table to store it and our staging mapping to load it. Our dimension mapping(s) will need to be updated to store the new data element along with the underlying table. We could make manual edits to all the affected objects in our...