You're reading from Azure Data Engineering Cookbook Get well versed in various data engineering techniques in Azure using this recipe-based guide

Product type Paperback

Published in Sep 2022

Publisher Packt

ISBN-13 9781803246789

Length 608 pages

Edition 2nd Edition

Languages

SQL

Tools

Azure

Concepts

Data Engineering

Authors (3):

Ahmad Osama

Nagaraj Venkatesan

Luca Zanna

View More author details

Table of Contents (16) Chapters

Preface

1. Chapter 1: Creating and Managing Data in Azure Data Lake

2. Chapter 2: Securing and Monitoring Data in Azure Data Lake FREE CHAPTER

3. Chapter 3: Building Data Ingestion Pipelines Using Azure Data Factory

4. Chapter 4: Azure Data Factory Integration Runtime

5. Chapter 5: Configuring and Securing Azure SQL Database

6. Chapter 6: Implementing High Availability and Monitoring in Azure SQL Database

7. Chapter 7: Processing Data Using Azure Databricks

8. Chapter 8: Processing Data Using Azure Synapse Analytics

9. Chapter 9: Transforming Data Using Azure Synapse Dataflows

10. Chapter 10: Building the Serving Layer in Azure Synapse SQL Pool

11. Chapter 11: Monitoring Synapse SQL and Spark Pools

12. Chapter 12: Optimizing and Maintaining Synapse SQL and Spark Pools

13. Chapter 13: Monitoring and Maintaining Azure Data Engineering Pipelines

14. Index

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Provisioning an Azure Synapse Analytics workspace

In this recipe, we’ll learn how to provision a Synapse Analytics workspace. A Synapse Analytics workspace is the logical container that will hold the Spark pools, SQL pool, and integration pipelines that are required for the data engineering tasks.

Getting ready

To get started, log into https://portal.azure.com using your Azure credentials.

How to do it…

Follow these steps to create a Synapse Analytics workspace:

Go to the Azure portal home page at portal.azure.com and click on Create a resource. Search for Synapse and select Azure Synapse Analytics. Click the Create button:

Figure 8.1 – Creating a Synapse Analytics workspace

Provide the following details:
1. Create a new resource group called PacktADESynapse by clicking the Create new link.
2. Provide a unique workspace name. For this example, we are using packtadesynapse. You may pick any location.
3. Provisioning a Synapse...