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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Virtual Catalog only All titles from Wiley. IT professionals eager to get into the field will gain a clear understanding of techniques for data extraction from source systems, data cleansing, wardhousing transformations, data warehouse architecture and infrastructure, and the various methods for information delivery.

ITprofessionals eager to get into the field will gain a clearunderstanding of techniques for data extraction from sourcesystems, data cleansing, data transformations, data warehousearchitecture and infrastructure, and the various methods forinformation delivery. They’ll also find a wealth of industry examples garnered from theauthor’s 25 years of experience in designing and implementingdatabases dzta data warehouse applications for majorcorporations. Discover Prime Book Box for Kids.

Planning Your Data Warehouse. If you want to learn data warehousing, this book won’t help you rather make you confused. Amazon Advertising Find, attract, and engage customers. Building the Data Warehouse. Metadata in the Data Warehouse.

Major Features and Functions. Demand for Online Analytical Processing. 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 data warehouses. See and discover other items: One person found this helpful. Examples provided are helpful. Amazon Inspire Digital Educational Resources. A Comprehensive Guide for IT Explorations in College Algebra, 5th Edition.


The book alsocontains review questions and exercises for each chapter,appropriate for self-study or classroom work, industry examples ofreal-world situations, and several appendices with valuableinformation. Since the first edition of Data WarehousingFundamentalsnumerous enterprises have implemented datawarehouse systems and reaped enormous benefits. Learn more about Amazon Prime.

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, data lakes, and the role of a data warehouse in both producing and productionizing predictive models.

The Data Warehouse Toolkit: Since the first edition of Data Warehousing Fundamentalsnumerous enterprises have implemented data warehouse systems and reaped enormous benefits. The author try to make it looks interesting instead of informative, the result is a non-informative and boring book.

Data Warehousing Fundamentals – Paulraj Ponniah – Google Books

Other editions – View all Data Warehousing Fundamentals: Information from the Data Warehouse. There was a problem filtering reviews right now.

Shopbop Designer Fashion Brands. Don’t have a Kindle? Wiley; 2 edition May 24, Language: How to Provide Metadata. Explore the Home Gift Guide. Would you like to tell us about a lower warehousiny This practical Second Edition highlights the areas of data warehousing and business intelligence where high-impact technological progress has been made. Ponniah has published three successful books and, as Adjunct Professor, poninah to teach college courses in data warehousing and database design.


Data Warehousing Fundamentals for IT Professionals, 2nd Edition

These items are shipped from and sold by different sellers. Why Metadata is Important.

Sold by itemspopularsonlineaindemand and ships from Amazon Fulfillment. The Data Webhouse Toolkit: Operational Versus Decision-Support Systems.

The author tackles a complicated subject very methodically. 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, and data mining techniques.

Considerations for a Pilot. Popular passages Page 18 – Inmon identified four characteristics of a data warehouse, which are represented in his formal definition: Monitoring the Data Warehouse. Amazon Rapids Fun stories for kids on the go. Continued Growth in Data Warehousing. He specializes in the design and Implementation of data warehouse and database systems. Read more Read less.

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