• Title Subjects
  • Data

Business Intelligence & Data Warehousing Simplified

500 Questions, Answers, & Tips

Paperback
December 2011
9781936420322
More details
  • Publisher
    Mercury Learning and Information
  • Published
    15th December 2011
  • ISBN 9781936420322
  • Language English
  • Pages 250 pp.
  • Size 6" x 9"
  •    Request Exam Copy
$35.95
E-Book

E-books are now distributed via VitalSource

VitalSource offer a more seamless way to access the ebook, and add some great new features including text-to-voice. You own your ebook for life, it is simply hosted on the vendor website, working much like Kindle and Nook. Click here to see more detailed information on this process.

October 2011
9781936420865
More details
  • Publisher
    Mercury Learning and Information
  • Published
    15th October 2011
  • ISBN 9781936420865
  • Language English
  • Pages 250 pp.
  • Size 6" x 9"
  •    Request E-Exam Copy
$35.95
Lib E-Book

Library E-Books

We are signed up with aggregators who resell networkable e-book editions of our titles to academic libraries. These editions, priced at par with simultaneous hardcover editions of our titles, are not available direct from Stylus.

These aggregators offer a variety of plans to libraries, such as simultaneous access by multiple library patrons, and access to portions of titles at a fraction of list price under what is commonly referred to as a "patron-driven demand" model.

October 2011
9781936420872
More details
  • Publisher
    Mercury Learning and Information
  • Published
    15th October 2011
  • ISBN 9781936420872
  • Language English
  • Pages 250 pp.
  • Size 6" x 9"
$74.95

This book targets business and IT professionals who need an introduction to business intelligence and data warehousing through a simple question/answer format. Organized into 30 odd chapters, each on a different topic, the book contains approximately 500 questions with answers and tips. Topics include evolution and fundamentals, characteristics and process, architecture and objects, metadata, data conversion, ETL, data storage, infrastructure, data access, data marts, implementation approaches, planning, design, Inmon vs. Kimball, multi-dimensionality, OLAP, facts and dimensions, common mistakes and tips, etc. The book can also be used as a supplemental textbook, for various data warehousing/business intelligence courses.

Arshad Khan

Arshad Khan is a professor at the University of California, San Diego and previously co-authored the best-selling title Stock Investing for Everyone: Tools For Investing Like The Pros. He has also authored titles on business intelligence, data warehousing, and SAP.