Author: John Paredes
Edition:
Binding: Paperback
ISBN: 0981775306
Publisher: OLAP World Press
Features:
Edition:
Binding: Paperback
ISBN: 0981775306
Publisher: OLAP World Press
Features:
- ISBN13: 9780981775302
- Condition: New
- Notes: BRAND NEW FROM PUBLISHER! 100% Satisfaction Guarantee. Tracking provided on most orders. Buy with Confidence! Millions of books sold!
The Multidimensional Data Modeling Toolkit: Making Your Business Intelligence Applications Smart with Oracle OLAP
Business intelligence is a huge segment of the software world. Search and download computer ebooks The Multidimensional Data Modeling Toolkit: Making Your Business Intelligence Applications Smart with Oracle OLAP for free.
The Multidimensional Data Modeling Toolkit: Making Your Business Intelligence Applicatio OLAP World Press 9780981775302 09780981775302. Download The Multidimensional Data Modeling Toolkit computer ebooks
Gartner Group estimates that sales in this area surpassed $10 billion in 2010, with Oracle as the second largest vendor in the category. At the heart of these analytical-oriented applications are dimensional data models with OLAP as a critical component for achieving high-performance. If you want to do development work in this area or understand how to maximize its value, read this book. A professional in the world of analytics and business intelligence needs an understanding of OLAP's specific data modeling principles, its analysis capabilities, and its relationship to other analytical approaches. All are presented here in a systematic fashion written in an easy-to-follow
The Multidimensional Data Modeling Toolkit: Making Your Business Intelligenc
TheNile.com.au About FAQ Payment Delivery Contact Us 1800-987-323 The Multidimensional Data Modeling Toolkit: Making Your Business Intelligence Applicatio (English) by John Paredes Format Paperback Condition Brand New Language English Business intelligence is a huge segment of the software world. Gartner Group estimates that sales in this area surpassed $10 billion in 2010, with Oracle as the second largest vendor in the category. At the heart of these analytical-oriented applications are dimen
The Multidimensional Data Modeling Toolkit, ISBN-13: 9780981775302, ISBN-10: 0981775306
The Multi-dimensional Data Modeling Toolkit provides an In-depth treatment of Oracle OLAP as well as a comprehensive examination of analytical techniques in a multidimensional OLAP framework. Application developers and database administrators will appreciate this book, packed with examples, tricks and techniques, and concrete illustrations of the programming elements needed to implement high-performance analytical applications. Data miners, statisticians, and power analysts will find the analysis techniques of particular interest. Written in a tutorial style, this book gives, in plain English,
Contributors: John Paredes - Author. Format: Paperback
The Multidimensional Data Modeling Toolkit Free
Gartner Group estimates that sales in this area surpassed $10 billion in 2010, with Oracle as the second largest vendor in the category. At the heart of these analytical-oriented applications are dimensional data models with OLAP as a critical component for achieving high-performance. If you want to do development work in this area or understand how to maximize its value, read this book. A professional in the world of analytics and business intelligence needs an understanding of OLAP's specific data modeling principles, its analysis capabilities, and its relationship to other analytical approaches
Gartner Group estimates that sales in this area surpassed $10 billion in 2010, with Oracle as the second largest vendor in the category. At the heart of these analytical-oriented applications are dimensional data models with OLAP as a critical component for achieving high-performance. If you want to do development work in this area or understand how to maximize its value, read this book. A professional in the world of analytics and business intelligence needs an understanding of OLAP's specific data modeling principles, its analysis capabilities, and its relationship to other analytical approaches. All are presented here in a systematic fashion written in an easy-to-follow
