Building A Better Data Warehouse - Couverture rigide

Meyer, Don; Cannon, Casey

 
9780138907570: Building A Better Data Warehouse

Synopsis

Building a Better Data Warehouse is simply the most practical guide to actually getting a data warehouse up and running. It begins by walking executives and managers through the hype surrounding data warehousing, briefing them on what to expect while building and deploying a data warehouse. It presents data warehousing terms, concepts, frameworks and components - helping all project participants speak the same language from the outset. Next, it shows project managers and initial data warehouse team members how to create a project scope document and plan deliverables. Walk through decisions about hardware platforms, operating systems, databases, tools and applications - identifying and comparing key vendors and products. Then, the book provides detailed help for data modelers and DBAs, showing how to complete the data model deliverables and actually construct the data warehouse. Learn about metadata, extraction programming, populating the data warehouse, end-user access tools, training, and more. For all IT project managers, staff and database administrators.

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À propos de l?auteur

CASEY CANNON is a member of IBM's RS/6000 Division Technical staff and the author of several computer science books, including Simply AIX (Prentice Hall PTR).

DON MEYER is President of Don Meyer & Associates, a data warehouse consultancy that works with top firms such as MCI and Citibank.

À propos de la quatrième de couverture


89075-6

Just do it! Cut through the hype and get that data warehouse deployed!

Based on Meyer and Cannon's extensive practical experience 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 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
  • Build the data model and the physical model
  • 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, databases tools and applications. They also provide comprehensive advice 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, populating the data warehouse, end-user access tools, training, and much more. It's the one book every member of your data warehouse team should read.

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