ETL for the Data Warehouse a Template-Driven approach 2010

Extract, transformation, and load process development (ETL) typically accounts for more than half of the work on a Data Warehouse project. Although complex and challenging a rigorous ETL process ensures data quality and currency thus ensuring Data Warehouse credibility and usefulness.
The good news is that using a standardized approach along with proven techniques and templates can exponentially lessen the amount of effort required and can ensure data quality, scalability and performance.
This class gives a broad overview of ETL processing for the Data Warehouse and delves into the in-depth issues and considerations involved. The class looks at the increasing need for Real-Time data feeds to the Warehouse and discusses the various methods to meet these needs. It specifically presents and teaches a template-driven approach which quickens development speed and provides completeness.
These templates are demonstrated with working Informatica/Oracle code, but can and have been adapted for other ETL tools and database platforms. They are also applicable for hand-coded efforts.