Data Modeling and Schema Design for Analytics
Chapter 1: Foundations of Analytical Architecture
Operational vs Analytical Workloads
Row-Oriented vs Columnar Storage
The Role of Denormalization
Hands-on Practical: Analyzing Query Plans
Chapter 2: Dimensional Modeling Core
The Grain of Data
Fact Tables Fundamentals
Dimension Tables Structure
Star Schema Architecture
Snowflake Schema Variations
Hands-on Practical: Designing a Star Schema
Chapter 3: Advanced Dimension Handling
Surrogate Keys vs Natural Keys
Slowly Changing Dimensions Type 1
Slowly Changing Dimensions Type 2
Date and Time Dimensions
Role-Playing Dimensions
Hands-on Practical: Implementing SCD Type 2
Chapter 4: Complex Fact Table Patterns
Transactional Fact Tables
Periodic Snapshot Fact Tables
Accumulating Snapshot Fact Tables
Factless Fact Tables
Hands-on Practical: Building an Accumulating Snapshot
Chapter 5: Physical Design and Optimization
Partitioning Strategies
Clustering and Sorting Keys
Nested Data Structures
One Big Table OBT Methodology
Hands-on Practical: Optimization Tuning
The Role of Denormalization
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- The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, Ralph Kimball, Margy Ross, 2013 (John Wiley & Sons, Inc.) - Presents core principles of dimensional modeling, star schemas, and denormalization strategies for analytical reporting.
- Database System Concepts, Avi Silberschatz, Henry F. Korth, S. Sudarshan, 2019 (McGraw-Hill) - Provides a comprehensive background on database systems, covering normalization theory, query optimization, and the trade-offs of various schema designs.
- Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems, Martin Kleppmann, 2017 (O'Reilly Media) - Examines data modeling approaches for analytical workloads and discusses the architectural considerations for scalable and performant data systems, including denormalization strategies.
- Column-Stores vs. Row-Stores: How Different Are They Really?, Daniel Abadi, Samuel Madden, Michael Stonebraker, 2008 Proceedings of the VLDB Endowment, Vol. 1 (VLDB Endowment) DOI: 10.14778/1454178.1454204 - A foundational paper comparing row-oriented and column-oriented database designs, explaining the performance characteristics and compression benefits of column stores for analytical queries.
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