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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

Chapter 8: Provisioning and Implementing an Azure Synapse SQL Pool

Azure Synapse Analytics is an integrated environment used to create data analytics platforms at scale. The SQL pools of Synapse Analytics are an ideal platform to implement star schema analytical databases at scale.

In this chapter, you will learn about Synapse Analytics. You will implement a star schema database using Synapse SQL pools. The following topics will be explained:

Overview of Synapse Analytics
Provisioning a Synapse Analytics workspace
Creating a Synapse SQL pool
Implementing tables in Synapse SQL pools
Understanding workload management
Using PolyBase to load data
Connecting to and using a dedicated SQL pool

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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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