Data Warehouse Design: modern principles and methodologies (Scienze) - Softcover

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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

Plan, Design, and Document High-Performance Data Warehouses

Set 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 approaches
• Create a reconciled database to boost data mart architecture
• Capture and expressively represent end-user requirements
• Build a conceptual data mart schema using the Dimensional Fact Model
• Estimate data mart volume and workload
• Improve performance using advanced logical modeling techniques
• Extract, transform, cleanse, and load data from operational sources
• Use sophisticated indexing techniques to optimize query execution plans
• Comprehensively document data warehouse projects
• Discover innovative business intelligence techniques