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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Monitoring an Azure SQL database using the Azure portal

Azure SQL Database has built-in monitoring features, such as Query Performance Insights, performance overview, and diagnostic logging. In this recipe, we’ll learn how to use the monitoring capabilities using the Azure portal.

Getting ready

We’ll use PowerShell to create an Azure SQL database, so open a PowerShell window and log in to your Azure account by executing the Connect-AzAccount command.

We’ll use the Azure portal to monitor the Azure SQL database. Open https://portal.azure.com and log in to your Azure account.

How to do it…

First, let’s execute a sample workload.

Creating an Azure SQL database and executing a sample workload

The steps are as follows:

Execute the following PowerShell command to create an Azure SQL database using the AdventureWorksLT sample database:
```
# create the resource group
New-AzResourceGroup -Name packtadesql -Location "central us...
```