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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 Peter ter Braake
Profile icon Peter ter Braake
Toc

Table of Contents (16) Chapters close

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

The normalization steps

The process of normalizing data is defined by a number of steps that you need to perform in order to get from a report or screenshot to a normalized table structure. Let's examine these steps in detail, starting with what is called Step zero.

Step zero

Data is normalized using information requirements such as reports and application screens in a number of formal steps. We will explain these steps using the report as shown in Figure 3.1. This report shows the hours worked by employees on different projects as of January 1, 2021. There are two active projects, P1 and P2. Two people, Peter and Janneke, are working on project P1. Peter, Jari, and Mats are working on project P2:

Figure 3.1 – Project overview

The first step is to define a list of columns to be stored in the database. You have to consider three main points in this preliminary step:

  • Can the report be broken down into separate independent reports?
  • ...
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