Data Warehouse Design: Modern Principles and Methodologies - by Matteo Golfarelli & Stefano Rizzi (Paperback)
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<p/><br></br><p><b> Book Synopsis </b></p></br></br><p><b>Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.</b></p><p><br></p><p>Foreword by Mark Stephen LaRow, Vice President of Products, MicroStrategy</p><p>A unique and authoritative book that blends recent research developments with industry-level practices for researchers, students, and industry practitioners.Il-Yeol Song, Professor, College of Information Science and Technology, Drexel University</p><p/><br></br><p><b> From the Back Cover </b></p></br></br><p><strong>Plan, Design, and Document High-Performance Data Warehouses</strong></p><p>Set up a reliable, secure decision-support infrastructure using the cuttingedge techniques contained in this comprehensive volume. <em>Data Warehouse Design: Modern Principles and Methodologies</em> presents a practical design approach based on solid software engineering principles. Find out how to interview end users, construct expressive conceptual schemata and translate them into relational schemata, and design state-of-the-art ETL procedures. You will also learn how to integrate heterogeneous data sources, implement star and snowflake schemata, manage dynamic and irregular hierarchies, and fine-tune performance by materializing and fragmenting views.</p><ul><li>Work with data- and requirement-driven methodological approaches</li><li>Create a reconciled database to boost data mart architecture</li><li>Capture and expressively represent end-user requirements</li><li>Build a conceptual data mart schema using the Dimensional Fact Model</li><li>Estimate data mart volume and workload</li><li>Improve performance using advanced logical modeling techniques</li><li>Extract, transform, cleanse, and load data from operational sources</li><li>Use sophisticated indexing techniques to optimize query execution plans</li><li>Comprehensively document data warehouse projects</li><li>Discover innovative business intelligence techniques</li></ul><p/><br></br><p><b> About the Author </b></p></br></br><strong>Matteo Golfarelli</strong> is an associate professor of Computer Science and Technology at the University of Bologna, Italy, where he teaches courses in information systems, databases, and data mining. </p><strong>Stefano Rizzi</strong> is a full professor of Computer Science and Technology at the University of Bologna, Italy, where he teaches courses in advanced information systems and software engineering.</p>
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