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.Foreword by Mark Stephen LaRow, Vice President of Products, MicroStrategy"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
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The first book to apply the modern principles of software engineering to building data warehouses
Chapter 1. Introduction to Data WarehousingChapter 2. Data Warehouse System LifecycleChapter 3. Analysis and Reconciliation of Data SourcesChapter 4. User Requirement AnalysisChapter 5. Conceptual ModelingChapter 6. Conceptual DesignChapter 7. Workload and Data VolumeChapter 8. Logical ModelingChapter 9. Logical DesignChapter 10. Data-staging DesignChapter 11. Indexes for the Data WarehouseChapter 12. Physical DesignChapter 13. Data Warehouse Project DocumentationChapter 14. A Case StudyChapter 15. Business Intelligence: Beyond the Data WarehouseGlossaryBibliographyIndex
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Plan, Design, and Document High-Performance Data WarehousesSet up a reliable, secure decision-support infrastructure using the cuttingedge techniques contained in this comprehensive volume. Data Warehouse Design: Modern Principles and Methodologies 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.Work with data- and requirement-driven methodological approachesCreate a reconciled database to boost data mart architectureCapture and expressively represent end-user requirementsBuild a conceptual data mart schema using the Dimensional Fact ModelEstimate data mart volume and workloadImprove performance using advanced logical modeling techniquesExtract, transform, cleanse, and load data from operational sourcesUse sophisticated indexing techniques to optimize query execution plansComprehensively document data warehouse projectsDiscover innovative business intelligence techniques
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Produktdetaljer

ISBN
9780071610391
Publisert
2009-07-16
Utgiver
Vendor
Osborne/McGraw-Hill
Vekt
778 gr
Høyde
231 mm
Bredde
188 mm
Dybde
23 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
480

Biographical note

Matteo Golfarelli 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.

Stefano Rizzi 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.