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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Data warehousing has revolutionized the way businesses in a wide variety of industries perform analysis and make strategic decisions. Since the first edition of Data Warehousing Fundamentalsnumerous enterprises have implemented data warehouse systems and reaped enormous benefits. Many more are in the process of doing so. Now, this new, revised edition covers the essential fundamentals of data warehousing and business intelligence as well as fundamenntals recent trends in the field.
The author pohniah an enhanced, comprehensive overview of data warehousing together with in-depth explanations of critical issues in planning, design, deployment, and ongoing maintenance. 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 ufndamentals delivery. This practical Second Edition highlights the areas of data warehousing and business intelligence where high-impact technological progress has been made.
Discussions on developments include data marts, real-time information delivery, data visualization, requirements gathering methods, multi-tier architecture, OLAP ponhiah, Web clickstream analysis, data warehouse appliances, and data mining techniques. The book also contains review questions and exercises for each chapter, appropriate for self-study or classroom work, industry examples of real-world situations, and several appendices with valuable information.
Specifically written for professionals responsible for designing, implementing, or maintaining data warehousing systems, Data Warehousing Fundamentals presents agile, thorough, and systematic development principles fundwmentals the IT professional and anyone working or researching in information management.
Data Warehousing Fundamentals for IT Professionals, 2nd Edition
Failures of Past Decision Support Systems. Operational Versus Decision-Support Systems. The Data Warehousing Movement. Evolution of Business Intelligence.
Data Warehouses and Data Marts. Metadata in the Data Warehouse. Continued Growth in Fundamnetals Warehousing. Vendor Solutions and Products. Planning Your Data Warehouse. The Data Warehouse Project. Information Packages—A Useful Concept. Understanding Data Warehouse Architecture. Hardware and Operating Systems.
Why Metadata is Important. Metadata Types by Functional Areas. How to Provide Metadata. From Requirements to Data Design. Updates to the Dimension Tables. A Key to Success.
Why is Data Quality Critical?. Information from the Data Warehouse. Who Will Use the Information?
Data Warehousing Fundamentals – Paulraj Ponniah – Google Books
Demand for Online Analytical Processing. Major Features and Functions. OLAP and the Web. Building a Web-Enabled Data Warehouse. What is Data Mining?. Major Data Mining Techniques. Indexing the Data Warehouse. Considerations for a Pilot.
Monitoring the Data Fundamentalls.
User Training and Support. Managing the Data Warehouse. Answers to Selected Exercises. Project Life Cycle Steps and Checklists.
Critical Factors for Success. Guidelines for Evaluating Vendor Solutions. Highlights of Vendors and Products. Real-World Examples of Best Practices.
He specializes in the design and Implementation of data warehouse and database systems. Ponniah has published three successful books and, as Adjunct Professor, continues to teach college courses in data warehousing and database design. New to This Edition This second edition builds on areas in which significant technology progress has been made since the first edition. Developments are tracked in data marts, real-time information delivery, requirements gathering techniques, multi-tier architecture, OLAP models, clickstream data Webhouse, data mining techniques and applications, and data warehouse testing.
The Wiley Advantage Combines recent trends and data warehousing basics. Technical Mathematics with Calculus, 6th Edition. Survey Methodology, 2nd Edition. Lepkowski, Eleanor Singer, Roger Tourangeau. Explorations in College Algebra, 5th Edition. Stock Value Creation and the Management of the Firm. Learn more about Enterprise Learning Solutions.
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