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Data Modeling for Azure Data Services

You're reading from   Data Modeling for Azure Data Services Implement professional data design and structures in Azure

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781801077347
Length 428 pages
Edition 1st Edition
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Author (1):
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Peter ter Braake Peter ter Braake
Author Profile Icon Peter ter Braake
Peter ter Braake
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Table of Contents (16) Chapters Close

Preface 1. Section 1 – Operational/OLTP Databases
2. Chapter 1: Introduction to Databases FREE CHAPTER 3. Chapter 2: Entity Analysis 4. Chapter 3: Normalizing Data 5. Chapter 4: Provisioning and Implementing an Azure SQL DB 6. Chapter 5: Designing a NoSQL Database 7. Chapter 6: Provisioning and Implementing an Azure Cosmos DB Database 8. Section 2 – Analytics with a Data Lake and Data Warehouse
9. Chapter 7: Dimensional Modeling 10. Chapter 8: Provisioning and Implementing an Azure Synapse SQL Pool 11. Chapter 9: Data Vault Modeling 12. Chapter 10: Designing and Implementing a Data Lake Using Azure Storage 13. Section 3 – ETL with Azure Data Factory
14. Chapter 11: Implementing ETL Using Azure Data Factory 15. Other Books You May Enjoy

Designing a Data Vault structure

Let's start with the modeling process. There are two ways to design a Data Vault, both using the same general approach. This approach consists of the following steps:

  1. Identify the business keys, the natural entities involved in the process you try to model. This creates the Hub tables.
  2. Identify the relationships between the created Hubs. This creates the Link tables.
  3. Identify the descriptive information to store in the data warehouse. Create Satellites to store this data.
  4. Possibly re-group the descriptive columns based on type, rate of change, or source system and create Satellite tables accordingly.

There are two starting points you can choose to start modeling a Data Vault structure. These are as follows:

  • Translate a normalized database design into Hubs, Links, and Satellites.
  • Determine the entities by analyzing the business processes to model.

The easiest way is to take an existing normalized source...

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