Library of Congress Cataloging-in-Publication Data: Ponniah, Paulraj. Data warehousing fundamentals for IT professionals / Paulraj Ponniah. Data Warehousing Fundamentals for IT Professionals, 2nd Edition. Paulraj Ponniah. ISBN: pages. May Data Warehousing. Data Warehousing Fundamentals: A Comprehensive Guide for IT Professionals. Author(s). Paulraj Ponniah Ph.D.,. First published April.
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The author tackles a complicated subject very methodically.
Data Warehousing Fundamentals – Paulraj Ponniah – Google Books
Top Reviews Most recent Top Reviews. The author provides an enhanced, comprehensive overview of datawarehousing together with in-depth explanations of critical issuesin planning, design, deployment, and ongoing maintenance.
There’s a problem loading this menu right now. Building the Data Warehouse. Get to Know Us. Operational Versus Decision-Support Systems.
Data Warehousing Fundamentals for IT Professionals, 2nd Edition
fnudamentals References to this book Knowledge Management in the Construction Industry: Readers will learn about planning requirements, architecture, infrastructure, data preparation, information delivery, implementation, and maintenance. If you want to learn data warehousing, this book won’t help you rather make you confused. Many more are inthe process of doing so.
Table of Contents Preface. Discussions on developmentsinclude data marts, real-time information delivery, datavisualization, requirements gathering methods, multi-tierarchitecture, OLAP applications, Web clickstream analysis, datawarehouse appliances, and data mining techniques.
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Amazon Advertising Find, attract, and engage customers. What is Data Mining?. The Data Warehouse Toolkit: Managing the Data Warehouse. Selected pages Title Page. IT professionals eager to get into the field will gain a clear understanding of techniques for data extraction from source systems, data cleansing, data transformations, data warehouse architecture and infrastructure, and the various methods for information delivery.
All those knowledge mentioned in the book are not in an understandable format, the concept aren’t clearly defined, very theoretical, nothing to do with real life. These items are shipped from and sold by different sellers. The Kimball Group Reader: A Key to Success.
Amazon Renewed Refurbished products with a warranty. Cutting-edge content and guidance from a data warehousingexpert—now expanded to reflect field trends Data warehousing has revolutionized the way businesses in a widevariety of industries perform analysis and make strategicdecisions.
Stock Value Creation and the Management of the Firm. This book feels very dated. Real-World Examples of Best Practices. Demand for Online Analytical Processing. Buy the selected items together This item: Page 5 – Web-enabled analysis tools enables merchants to gain insights into their customer base, manage inventories more tightly, and keep the right products in front of the right people at the right place at the right time.
New to This Edition This second edition builds on areas in which significant technology progress has been made since the first edition.
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The Data Warehouse Project. The author try to make it looks interesting instead of informative, the result is a non-informative and boring book.
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I think a new edition is in press or something; hopefully an update will include coverage of topics like data warehouse automation, “citizen” data integration tools, wrehousing lakes, and the role of a data warehouse in both producing and productionizing predictive models.
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Ponmiah Types by Functional Areas. Discussions on developments include data marts, real-time information delivery, data visualization, requirements gathering methods, multi-tier architecture, OLAP applications, Web clickstream analysis, data warehouse appliances, fundamenyals data mining techniques. The end of chapter summaries and exercises wrap each chapter up and test the students knowledge. He also teaches database and data warehousing courses.
Indexing the Data Warehouse. Specifically written for professionals responsible for designing, implementing, or maintaining data warehousing systems, Data Warehousing Fundamentals presents agile, thorough, and systematic development principles for the IT professional and anyone working or researching in information management.