Data Analytics: Data Modeling With Data Vault 2.0: Setup Hubs, Links & Satellites with Sample Data : Working Demo — Part3
In the evolving landscape of data warehousing, the ability to adapt to changing business needs, ensure complete auditability, and scale with growing data volumes is paramount. This is where the Data Vault methodology shines. This article provides a deep dive into Data Vault modeling, offering a practical guide for data professionals looking to build robust and agile enterprise data warehouses.
Data Vault is a data modeling design pattern specifically engineered for enterprise-scale analytics. It's a hybrid approach that takes the best of Third Normal Form (3NF) and Star Schema, resulting in a model that is flexible, scalable, and auditable. The core philosophy of Data Vault revolves around separating the business keys, the relationships between them, and their descriptive attributes.
This video covers -
1. How to Create All Hubs, Links & Satellites
2. Load the Sample Data to all Hubs, Links & Satellites
3. Create Views 7 Procedures to Manipulate the data
4. Working Analytical Queries to get insights from Modelled Data in Hubs, Links & Satellites
5. Comparison with Star & Snowflake Data Modeling Schema on When to use which one & Why?
https://www.youtube.com/watch?v=bxssPZTykZ4
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