TDWI Data Warehouse Automation Module 1 – Data Warehouse Automation Concepts and Principles Data Warehouse Automation Basics o Data Warehouse Automation Defined o Automated vs. Hand-Crafted o Automation vs. Customization o Data Warehouse Automation vs. CASE Why Data Warehouse Automation o Business Benefits o Technical Benefits o Barriers and Resistance The Foundation o Components of Data Warehousing o Data Warehousing Projects o Design Patterns Activities and Deliverables o Data Warehousing Processes o What Can You Automate? The Technology Landscape o Automation Tools and Vendors Modue 2 – Building and Managing the Data Warehouse The Data Warehousing Lifecycle o A Closed Loop o Architecture and Planning o Implementation o Deployment and Operations Building the Data Warehouse o Requirements Driven Development o Modeling and Metadata Driven Development o Discovery Driven Development o Data Driven Development Managing the Data Warehouse o Operations o Monitoring and Tuning o Maintenance and Change o Evolution o Support Module 3 – Using Data Warehouse Automation Automation Use Cases o Building an New Data Warehouse o Building Dependent Data Marts o Building Dimensional Data Marts o Conforming Independent Data Marts o Data Warehouse Prototyping o Agile Data Warehousing o Data Warehouse Migration o Re-Architecting the Data Warehouse o Warehouse Management Case Studies o Arch Insurance Group o British American Tobacco o F5 Networks o Lamar o ProShop o Shell Oil o Union Bank Module 4 – Data Warehouse Automation in Action BIReady in Action o Product Overview o Demonstration Kalido in Action o Product Overview o Demonstration TimeXtender in Action o Product Overview o Demonstration WhereScape in Action o Products Overview o WhereScape RED o Demonstration Module 5 – Getting Started with Data Warehouse Automation Step by Step o A Process for Automation Human Factors o People and Automation New Horizons o Automation and Data Warehousing Trends Next Steps o Making Your Plans