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Data Modeling for Azure Data Services

You're reading from Data Modeling for Azure Data Services

Product type Book

Published in Jul 2021

Publisher Packt

ISBN-13 9781801077347

Pages 428 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Peter ter Braake

Table of Contents (16) Chapters

Preface

1. Section 1 – Operational/OLTP Databases

2. Chapter 1: Introduction to Databases

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 Link tables

A Link table, or just Link, can be one of the following two things:

A relationship between two or more Hub tables
A (business) transaction

Before we go into these two cases, have a look at Figure 9.6. Figure 9.6 shows the column structure of a Link table:

Figure 9.6 – Link table

A Link consists of two or more foreign keys. These can be hash keys from Hubs or from other Links. Like Hub tables, Link tables have a LoadDate column and a Source column. The primary key of a Link table is the hash value calculated over all the foreign keys together with the load date. The foreign keys are, of course, hash values themselves because they reference the hash keys of the Hub tables. The columns shown in Figure 9.6 are mandatory and should always be created in the order shown. This makes automatically generating Link tables easier, the same argument as used for Hub tables.

You can choose to add some optional columns, such...

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Authors (1)

Peter ter Braake

Peter Ter Braake started working as a developer in 1996 after studying physics in Utrecht, the Netherlands. Databases and business intelligence piqued his interest the most, leading to him specializing in SQL Server and its business intelligence components. He has worked with Power BI from the tool's very beginnings. Peter started working as an independent contractor in 2008. This has enabled him to divide his time between teaching data-related classes, consulting with customers, and writing articles and books. Peter has also authored Data Modeling for Azure Data Services, Packt.

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