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

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 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
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