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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

Chapter 11: Implementing ETL Using Azure Data Factory

In Section 1 of this book, you learned how to design and implement operational databases using Azure SQL Database and Azure Cosmos DB. Operational databases are databases where new data comes into existence; for instance, data pertaining to new customers and data regarding new orders is added to the database.

In Section 2 of this book, you learned how to design and implement analytical databases using Azure SQL Database, Azure Synapse Analytics, and an Azure Storage account. We used the data from our operational databases, supplemented with external data, log data, and streaming data, to populate these analytical databases to perform analytics on the data.

This section introduces Azure Data Factory, the tool to use when you need to enter data into analytical databases. The process of moving data from operational databases to analytical databases is called the Extract, Transform, Load (ETL) process. Azure Data Factory is the...

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