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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Configuring auditing for Azure SQL Database

SQL Auditing is a process in which key activities or changes in the database are recorded not only for monitoring but also for compliance to global security standards. In the following recipe, we will configure an audit for Azure SQL Database to record the database activities, store the details in Azure Log Analytics, and verify the recorded data.

Getting ready

Create an Azure SQL database and a Log Analytics workspace, as mentioned in the Monitoring an Azure SQL database using the Azure portal recipe of this chapter.

How to do it…

In the Azure portal, navigate to All resources | azadesqlserver | adeawlt. Find Auditing:

Figure 6.46 – Azure SQL Database Auditing

Turn on Azure SQL Auditing. Enable Log Analytics. Pick the packtadesqllgw Log Analytics workspace, which was created in the Monitoring an Azure SQL Database using the Azure portal recipe of this chapter. Hit the Save...