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Let’s understand what is grain in data warehouse and before designing warehouse schema, why it is important to correctly determine grain for dimensions and facts.
- What is Grain in Data warehouse ( Download)
- What is Data Granularity | BI For Beginners ( Download)
- 06 Understanding Granularity ( Download)
- Let's Compare the Kimball and Inmon Data Warehouse Architectures ( Download)
- DWH Interview Question : Granularity in Datawarehousing ( Download)
- What is Granularity & Cardinality | Data Warehouse Tutorial | Data Warehouse Concepts (15/30) ( Download)
- Databases: Conceptual Design of a data warehouse (declaring the grain) ( Download)
- Understand data granularity in 45 seconds! #dataanalytics ( Download)
- Data Modeling Tutorial: Star Schema (aka Kimball Approach) ( Download)
- Master Dimensional Modeling Lesson 01 - Why Use a Dimensional Model ( Download)
- What are Dimensions and Measures ( Download)
- Types of Fact Tables in Data Warehouse | Transaction, Periodic and Accumulating ( Download)
- Designing Your Data Warehouse from the Ground Up ( Download)
- DWH Tutorial 15 : Types Of Fact Tables in Data Warehousing ( Download)
- DATA WAREHOUSE, GRAIN, ETL, STAR SKEMA ( Download)
