Building A Better Data Warehouse

Building A Better Data Warehouse

by Don Meyer
     
 

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

…  See more details below

Overview

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.

Read More

Editorial Reviews

Booknews
A systematic guide which cuts through the hype, briefing managers on exactly what to expect building, piloting, deploying, and maintaining a data warehouse. Topics include the unique issues surrounding OLAP applications; comparisons of data warehouses and data marts; planning goals, architecture, infrastructure, platforms and tools; building the data model and the physical model; optimizing performance, security, and end-user access; and maximizing data integrity. The authors include specific guidance for every critical decision, including hardware platforms, operating systems, database tools and applications. Annotation c. by Book News, Inc., Portland, Or.

Product Details

ISBN-13:
9780138907570
Publisher:
Prentice Hall Professional Technical Reference
Publication date:
12/24/1997
Pages:
256
Product dimensions:
7.23(w) x 9.55(h) x 0.94(d)

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >