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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

Using hash keys

Hash keys were introduced in Data Vault 2.0 and play a central role in the design. One advantage of using hash keys is that both Hubs and Links can (and often will) have a composite key. This makes the keys large and inefficient. By creating a single hash value, the key becomes more efficient. This is not true for Hubs with small keys. In that case, hash keys are likely to be more inefficient. But there are other arguments. One other argument is that we want all tables to have the same structure. So, we also use a hash key, even when that is less efficient.

The most important advantage of using hash keys is the efficiency gain of the load process. To explain this, consider a star schema with surrogate keys. You need to load the dimension tables first. The surrogate keys are created during the insert of the new dimension rows. After all the dimensions have finished loading, you can start to load the fact table. The ETL process, which gets fact rows with source keys...

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