Filled with expert techniques and best practices, this comprehensive guide helps you unleash the full potential of data warehouses, regardless of architecture, implementation scope, or software tools.
Filled with expert techniques and best practices, this comprehensive guide helps you unleash the full potential of data warehouses, regardless of architecture, implementation scope, or software tools.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Christopher Adamson is the founder of Oakton Software LLC and a faculty member at The Data Warehousing Institute. He works with customers in all industries to establish data warehousing strategies, define and prioritize projects, and design solutions. Chris has taught dimensional design to thousands of students worldwide, and has written numerous books and articles.
Inhaltsangabe
Part I: Fundamentals ; Chapter 1: Analytic Databases and Dimensional Design; Chapter 2: Data Warehouse Architectures; Chapter 3: Stars and Cubes; Part II: Multiple Stars ; Chapter 4: A Fact Table for Each Process; Chapter 5: Conformed Dimensions; Part III: Dimension Design ; Chapter 6: More on Dimension Tables; Chapter 7: Hierarchies and Snowflakes; Chapter 8: More Slow Change Techniques; Chapter 9: Multi-Value Dimensions and Bridges; Chapter 10: Recursive Hierarchies and Bridges; Part IV: Fact Table Design ; Chapter 11: Transactions, Snapshots and Accumulating Snapshots; Chapter 12: Factless Fact Tables; Chapter 13: Type-Specific Stars; Part V: Performance ; Chapter 14: Derived Schemas; Chapter 15: Aggregates; Part VI: Tools and Documentation ; Chapter 16: Design and Business Intelligence; Chapter 17: Design and ETL; Chapter 18: How to Design and Document a Dimensional Model
Part I: Fundamentals ; Chapter 1: Analytic Databases and Dimensional Design; Chapter 2: Data Warehouse Architectures; Chapter 3: Stars and Cubes; Part II: Multiple Stars ; Chapter 4: A Fact Table for Each Process; Chapter 5: Conformed Dimensions; Part III: Dimension Design ; Chapter 6: More on Dimension Tables; Chapter 7: Hierarchies and Snowflakes; Chapter 8: More Slow Change Techniques; Chapter 9: Multi-Value Dimensions and Bridges; Chapter 10: Recursive Hierarchies and Bridges; Part IV: Fact Table Design ; Chapter 11: Transactions, Snapshots and Accumulating Snapshots; Chapter 12: Factless Fact Tables; Chapter 13: Type-Specific Stars; Part V: Performance ; Chapter 14: Derived Schemas; Chapter 15: Aggregates; Part VI: Tools and Documentation ; Chapter 16: Design and Business Intelligence; Chapter 17: Design and ETL; Chapter 18: How to Design and Document a Dimensional Model
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