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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 dimensions

The first thing to look at is the primary key to use for a dimension table.

Defining the primary key of a dimension table

To get straight to the point: we always use surrogate keys for dimension tables. In Chapter 1, Introduction to Databases, we discussed logical versus surrogate keys. We will not repeat the discussion here. The best practice is to use surrogate keys for dimension tables.

In a star schema database model, using an efficient primary key is even more important than in a normalized OLTP database. In earlier examples, it became clear that fact tables might become really big in terms of the number of rows they store. Suppose you have a fact table with seven dimensions that has 1 billion rows. The difference between using keys that are 4 bytes in size and keys that are 8 bytes in size is 7 x 4 x 1,000,000,000, which is 28 GB. Some people might argue that today 28 GB is not really something to consider. But you might have a lot more rows than...

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