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In this video, we delve into the importance of Analytical Data Modeling in the realms of Business Intelligence (BI) and Data Science. Discover how Dimensional Modeling serves as a foundational principle in data warehousing, enabling organizations to effectively analyze complex datasets and make informed decisions.
We will cover key concepts such as:
- Why do we need analytical data modeling?
- Why can't we just use 3NF modeling?
- The role of fact and dimension tables in data warehousing
- How Dimensional Modelling enhances data retrieval for reporting
Whether you're a data professional, a business analyst, or just curious about how data works, this video will provide you with valuable insights into why analytical modeling is crucial for successful BI strategies and effective data science initiatives.
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📖 CHAPTERS:
00:00 - Intro
01:03 - Why is Data Analysis Important?
02:31 - Evolution of Databases
06:42 - OLTP vs OLAP
08:48 - Third Normal Form Databases
19:36 - Dimensional Modeling
30:12 - Slowly Changing Dimensions
33:50 - Querying our Analytical Database
35:57 - Moving from Transactional to Analytical
40:14 - Other Analytical Models
42:54 - Summary
43:56 - Outro and Thanks!
🔗LINKS:
- Internet Minute Picture Credit - https://ediscoverytoday.com/wp-content/uploads/2021/04/2021InternetMinute.png
- Data Warehousing Toolkit by Ralph Kimball (Affiliate Link) - https://amzn.to/3Zz2smE
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