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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 fact tables

Dimension tables may be important, but the facts are what really matter. So, before going into fact tables, let's look at the facts first. We already learned about facts in the dimensional modeling section, but we need to look at facts in a bit more detail. When we do, we can distinguish three types of facts:

  • Additive facts
  • Semi-additive facts
  • Non-additive facts

We will discuss them in turn.

Understanding additive facts

Additive facts are numerical facts that you can add together to create facts at a higher aggregation level. Almost all reports use aggregated facts. For instance, a report showing sales by month is an aggregated report. All individual sales transactions of the same month are put together to form one new row. The sales are calculated by adding all the sales amounts together to form the month's sales. The overall sales are then calculated by adding all the sales amounts of all the months together.

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