ISBN 9788184041484,As / 400 Data Warehousing

As / 400 Data Warehousing



Shroff Publishers & Distributors Pvt Ltd

Publication Year 1997

ISBN 9788184041484

ISBN-10 8184041489

Paper Back

Edition 2nd
Number of Pages 342 Pages
Language (English)

Database programming

What is the difference between $79,000 and $79? In data warehousing, it's the difference between buying expensive data warehousing software and buying a book that shows you how to implement do-it-yourself iSeries data warehousing. Rather than spend tons of money on DW software and maybe a second system, you can learn what you need by implementing an incremental data warehouse on your current iSeries with no additional software.When Brian Kelly originally wrote this book on Data Warehousing, it was the first. He had developed a system for reengineering AS/400 databases for end-user access. He was convinced he had solved the problem of giving users easy access to their own AS/400 data. He was right. This is exactly what good data warehousing is. Without all the fancy buzzwords, Kelly's book continues to be the defining work for the AS/400 implementer wanting to provide a simple base for information access. This book is for the implementer who wants to get the job done. He shows you how to build a simple do-it-yourself data warehouse, which can eliminate complex queries.Find out the real difference between $79 and $79,000.00. Spend $79.00 for the only do-it-yourself guide to iSeries Data Warehousing available today. Both you and your budget will be glad you did!Upon completion of this book you will:Know the data warehousing industry buzzwordsBe familiar with the various categories of DW tools and be able to differentiate themExplain why the AS/400 is a great data warehousing machineKnow why informational data is necessary for a data warehouseUnderstand why production data is not conducive to decision supportUnderstand why QS/400 Query fails as a data warehousing toolDifferentiate the structure of production data from informational dataTake operational data through denormalization to produce informational dataBuild your own sample data warehouse without buying any toolsBe familiar with the various categories of DW tools and be able to differentiate them