Last edited by Mazumi
Thursday, July 30, 2020 | History

6 edition of The Essential Guide to Data Warehousing found in the catalog.

The Essential Guide to Data Warehousing

by Lou Agosta

  • 26 Want to read
  • 34 Currently reading

Published by Prentice Hall PTR .
Written in English


The Physical Object
Number of Pages526
ID Numbers
Open LibraryOL7333461M
ISBN 10013085087X
ISBN 109780130850874

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The Essential Guide to Data Warehousing by Lou Agosta Download PDF EPUB FB2

Data warehousing for everyone. The essential guide for all business people. This is the only data warehousing book that speaks directly to business leaders and data warehousing newcomers -- Cited by: In accordance with the primary aim of Prentice Hall's “essential guide” series, this book is an introductory guide to data warehousing.

The targeted audience is surprisingly broad: executives, business managers, project managers, information managers, business analysts, and IT technology professionals. Description. For any introductory to intermediate course in data warehousing; ideal for both computer science and business students.

This is the only data warehousing book that speaks directly to newcomers—explaining the benefits, risks, technologies, and processes with remarkable clarity and insight.

Consultant Lou Agosta shows students how data warehousing. The Essential Guide to Data Warehousing. This is the only data warehousing book that speaks directly to business leaders and data warehousing newcomers -- explaining all the /5(2). The essential guide for all business people.

This is the only data warehousing book that speaks directly to business leaders and data warehousing newcomers -- explaining the benefits, risks. The Essential Guide focuses on topics that apply to both distribution and manufacturing, but skims over the manufacturing-related topics due to book length considerations.

These topics are covered in the complete book, which also covers the advanced approach to warehouse : Scott Hamilton. The Essential Guide to Data Warehousing, Essential Guide Series (Prentice-Hall, Inc.). Des milliers de livres avec la livraison chez vous en 1 jour ou en magasin avec -5% de réduction.

The guide does a good job of explaining that any data warehousing project really needs to take business requirements into account and that their needs to be a solid understanding for everyone involved, both technical and non-technical personnel. Developing a plan and setting policies is an important part of data warehousing Cited by: 7.

Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale Guide to Data Science, Artificial Intelligence, and Neural Networks in Modern Business and Marketing applications: The Data Science Guide, Book.

of the contents of this book and specifically disclaim any implied warranties of merchantability or fitness for a Library of Congress Cataloging-in-Publication Data: Ponniah, Paulraj.

Data warehousing fundamentals for IT professionals / Paulraj Ponniah.—2nd ed. Why Metadata Is Essential for IT / Automation of Warehousing File Size: 3MB. CONTENTS Foreword xxi Preface xxiii Part 1 OVERVIEW AND CONCEPTS 1 The Compelling Need for Data Warehousing 1 1 Chapter Objectives 1 1 Escalating Need for Strategic Information 2 1 The.

The essential guide to data warehousing. [Louis Agosta] -- An examination of the benefits, risks, and technologies of data warehousing discusses project management, design and construction, transaction management.

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The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling By Ralph Kimball and Margy Ross Published on The third edition of Ralph Kimball's classic book.

This edition covers everything from the basics of dimensional data warehouse. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g.

credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data. Apple Books Preview. Data Science: 2 Manuscripts in 1: The Essential Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Big Data for Business and Author: Travis Goleman.the business management of a data warehouse and dis cover essential methods for cultivating a strong partnership between the business and IT elements of your organization.

You can use this knowledge to be more effective when sharing your requirements and concerns during a project. A Manager’s Guide to Data Warehousing.We introduce our latest educational e-book (we have several more here): The Essential Guide to Third Party Logistics: What is a 3PL, Considerations for Hiring, & How to transport and integrated their existing warehousing File Size: 2MB.