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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

Introducing Azure Data Factory

In Chapter 8, Provisioning and Implementing an Azure Synapse SQL Pool, you saw the modern data warehouse architecture as shown in Figure 11.1:

Figure 11.1 – Modern data warehouse architecture

All the arrows in Figure 11.1 denote data movement activities. We need to export data from the operational databases and copy that data to the data lake's raw zone. We then process the newly added data and move the now transformed data into the curated zone of the data lake. From there, the data is transformed even more. Business rules are applied and the data is shaped into a star schema design to be stored in a data mart. We might then process an Analysis Services tabular model to serve the data to end users.

The entire process of moving data and transforming it is referred to as the ETL process. It sometimes involves copying data and, on other occasions, the data needs to be transformed. Depending on the situation, we can...

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