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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 business vaults

The first version of the Data Vault theory introduced the notion of Hubs, Links, and Satellites. This provided the flexibility over time that we needed for data warehousing. Data Vault 2.0 has a couple of adaptions to the first version. An important change was the introduction of hash keys. But Data Vault 2.0 also introduced the concept of a business vault. This addresses the fact that the structure of a Data Vault as discussed until now will rapidly become complex and difficult to query. The latter leads inevitably to bad query performance.

The introduction of the business vault led to two other new terms: Raw Data Vault and Operational Data Vault. Both terms mean the same and refer to a "pure" Data Vault structure with Hubs, Links, and Satellites as discussed so far in this chapter. The Raw Data Vault stores raw data coming directly from the source database. The columns are stored in different table structures, but the data itself is not changed...

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