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Star Schema the Complete Reference

by Christopher Adamson

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A practical reference for dimensional data warehouse design

$39.00 USD
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AlbakiReads Editorial

A practical reference for dimensional data warehouse design

Christopher Adamson organizes star-schema design around the decisions that shape a working data warehouse, from foundational dimensional modeling and slowly changing data to more complicated business rules and imperfect source data. The coverage places star schemas within different warehouse architectures, including approaches associated with W. H. Inmon and Ralph Kimball, while keeping attention on project-level design tasks and deliverables. Advanced sections address multiple stars or cubes, shared subject areas, historical-data requirements, recursive hierarchies, aggregates, and adjustments for BI and ETL tools. It is structured as a broad technical reference for designing models that can expand across business processes without losing consistency.

Good fit for readers who enjoy

  • Data warehouse designers building or extending dimensional models
  • BI and ETL practitioners working with schema and performance constraints
  • Database professionals seeking detailed coverage of star-schema design challenges

Themes

Dimensional modelingStar schemas and cubesData warehouse architectureHistorical data and slow changesBI and ETL integration

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Book overview

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.
The definitive guide to dimensional design for your data warehouse

Learn the best practices of dimensional design. Star Schema: The Complete Reference offers in-depth coverage of design principles and their underlying rationales. Organized around design concepts and illustrated with detailed examples, this is a step-by-step guidebook for beginners and a comprehensive resource for experts.

This all-inclusive volume begins with dimensional design fundamentals and shows how they fit into diverse data warehouse architectures, including those of W.H. Inmon and Ralph Kimball. The book progresses through a series of advanced techniques that help you address real-world complexity, maximize performance, and adapt to the requirements of BI and ETL software products. You are furnished with design tasks and deliverables that can be incorporated into any project, regardless of architecture or methodology.

  • Master the fundamentals of star schema design and slow change processing
  • Identify situations that call for multiple stars or cubes
  • Ensure compatibility across subject areas as your data warehouse grows
  • Accommodate repeating attributes, recursive hierarchies, and poor data quality
  • Support conflicting requirements for historic data
  • Handle variation within a business process and correlation of disparate activities
  • Boost performance using derived schemas and aggregates
  • Learn when it's appropriate to adjust designs for BI and ETL tools
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