Principles & Implementation of Datawarehousing

Principles & Implementation of Datawarehousing
Author :
Publisher : Firewall Media
Total Pages : 528
Release :
ISBN-10 : 8170088518
ISBN-13 : 9788170088516
Rating : 4/5 (18 Downloads)

Book Synopsis Principles & Implementation of Datawarehousing by : Rajiv Parida

Download or read book Principles & Implementation of Datawarehousing written by Rajiv Parida and published by Firewall Media. This book was released on 2008-02 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Principles & Implementation of Datawarehousing Related Books

Principles & Implementation of Datawarehousing
Language: en
Pages: 528
Authors: Rajiv Parida
Categories:
Type: BOOK - Published: 2008-02 - Publisher: Firewall Media

DOWNLOAD EBOOK

Data Warehouse Systems
Language: en
Pages: 696
Authors: Alejandro Vaisman
Categories: Computers
Type: BOOK - Published: 2022-08-16 - Publisher: Springer Nature

DOWNLOAD EBOOK

With this textbook, Vaisman and Zimányi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic princ
Strategic Data Warehousing Principles Using SAS Software
Language: en
Pages: 0
Authors: Peter R. Welbrock
Categories: Data warehousing
Type: BOOK - Published: 1998 - Publisher:

DOWNLOAD EBOOK

What is the key to a successful data warehouse? Strategy, design, implementation! This book skillfully provides a conceptual and working model of a successful d
Data Warehousing Fundamentals
Language: en
Pages: 544
Authors: Paulraj Ponniah
Categories: Computers
Type: BOOK - Published: 2004-04-07 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Geared to IT professionals eager to get into the all-importantfield of data warehousing, this book explores all topics needed bythose who design and implement d
Data Mining and Data Warehousing
Language: en
Pages: 514
Authors: Parteek Bhatia
Categories: Computers
Type: BOOK - Published: 2019-06-27 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Written in lucid language, this valuable textbook brings together fundamental concepts of data mining and data warehousing in a single volume. Important topics