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Coles Star Schema the Complete Reference at Bayshore Shopping Centre in Ottawa, ON
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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
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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