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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

Product type Paperback

Published in Jul 2021

Publisher Packt

ISBN-13 9781801077347

Length 428 pages

Edition 1st Edition

Languages

SQL

Tools

Azure

Concepts

Databases

Author (1):

Peter ter Braake

View More author details

Table of Contents (16) Chapters

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

Section 3 – ETL with Azure Data Factory

Data lakes, data warehouses, data marts, and potentially semantic models need to be loaded with new data regularly. This process is called the Extract, Transform, Load (ETL) process. This section is about getting data out of the source systems you designed in Section 1 into the analytics systems you designed in Section 2.

This section comprises the following chapter:

Chapter 11, Implementing ETL Using Azure Data Factory

The rest of the chapter is locked

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Authors (1)

Braake

Braake

Peter Ter Braake started working as a developer in 1996 after studying physics in Utrecht, the Netherlands. Databases and business intelligence piqued his interest the most, leading to him specializing in SQL Server and its business intelligence components. He has worked with Power BI from the tool's very beginnings. Peter started working as an independent contractor in 2008. This has enabled him to divide his time between teaching data-related classes, consulting with customers, and writing articles and books. Peter has also authored Data Modeling for Azure Data Services, Packt.

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