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Azure Data Engineering Cookbook

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

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Product type Paperback
Published in Sep 2022
Publisher Packt
ISBN-13 9781803246789
Length 608 pages
Edition 2nd Edition
Languages
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Authors (3):
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Ahmad Osama Ahmad Osama
Author Profile Icon Ahmad Osama
Ahmad Osama
Nagaraj Venkatesan Nagaraj Venkatesan
Author Profile Icon Nagaraj Venkatesan
Nagaraj Venkatesan
Luca Zanna Luca Zanna
Author Profile Icon Luca Zanna
Luca Zanna
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Toc

Table of Contents (16) Chapters Close

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 15. Other Books You May Enjoy

Monitoring Synapse integration pipelines using Log Analytics and workbooks

One of the key tasks after developing complex Synapse integration pipelines is to monitor them for aspects such as long-running activities, large data movements, and common errors. In this recipe, we will integrate a Synapse workspace with Azure Log Analytics and deploy a ready-made workbook to monitor the pipelines. In this recipe, at a high level, we will be performing the following tasks:

  • Import a pipeline from a template. The pipeline’s execution data will be monitored using an Azure Log Analytics workspace and workbook.
  • Integrate a Synapse workspace with Azure Log Analytics.
  • Deploy a workbook for monitoring the Synapse integration pipeline.

Getting ready

To get started, log into https://portal.azure.com using your Azure credentials and perform the following steps:

  1. Create a Synapse Analytics workspace, as explained in the Provisioning an Azure Synapse Analytics workspace...
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