This episode is the second installment of Brick and Caleb's series on breaking down data terminology. They cover Kimball data warehouse methodology, fact/dimensional tables, star vs. snowflake schemas, and data models vs. semantic models/layers.
0:22 What is Kimball style data warehousing?
0:58 What is a dimensional model?
1:30 What are fact and dimension tables?
3:20 What is a data model?
4:30 What does it mean to have a "relationship" between tables?
5:00 What are star schemas and snowflake schemas?
6:57 Is there a difference between semantic models/semantic layers and data models?
8:40 What is a "view"?
Complete your education on basic data terms with:
Part One - • The Layman's Guide to ...
Part Three - • The Layman's Guide to ...
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#database #dataanalytics #dataterminology #starschema #snowflakeschema
12 окт 2024
