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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

Using the copy activity

You can create pipelines and activities from two different places. The first is Azure Data Factory itself. The second place is Azure Synapse Analytics. The "integrate" part of Synapse Analytics is actually the same as Azure Data Factory. ETL is such an integral part of analytical databases that Microsoft brings everything involved in developing analytical databases into a single environment. We have the serverless SQL pool and the Spark pool to perform advanced transformations on data when necessary. And we have pipelines with all the different sorts of activities to create the entire workflow. Because this book is about databases and not ETL by itself, we will work from Synapse Analytics.

We will first copy a single table. We will then move on to copy all tables.

Copying a single table to the data lake

We will begin by copying the customer table from the Northwind database into the data lake created in Chapter 10, Designing and Implementing...

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