Building a Better Data Warehouse is a systematic guide to successful data warehouse deployment. It cuts through the hype, briefing managers on exactly  what to expect building, piloting, deploying and maintaining a data warehouse. You’ll learn how to take control of the process from start to finish – and discover the key success factors associated with the data warehouses that deliver real business benefits.

• Understand the unique issues surrounding OLAP applications
• Compare data warehouses and data marts
• Plan your goals, architecture, infrastructure, platforms, and tools
• Optimize performance, security, and end-user access
• Maximize data integrity

Meyer and Cannon pull no punches. They offer specific guidance for every critical decision, including hardware platforms, operating systems, database tools, and applications. They also provide comprehensive advise for both data modelers and DBAs, including proven techniques for completing data model deliverables and constructing the data warehouse. Building a Better Data Warehouse covers metadata, extraction programming, end-user access tools, training, and much more. It’s the one book every member of your data warehouse team should read.