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You're reading from  Azure Databricks Cookbook

Product typeBook
Published inSep 2021
PublisherPackt
ISBN-139781789809718
Edition1st Edition
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Authors (2):
Phani Raj
Phani Raj
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Phani Raj

Phani Raj is an experienced data architect and a product manager having 15 years of experience working with customers on building data platforms on both on-prem and on cloud. Worked on designing and implementing large scale big data solutions for customers on different verticals. His passion for continuous learning and adapting to the dynamic nature of technology underscores his role as a trusted advisor in the realm of data architecture ,data science and product management.
Read more about Phani Raj

Vinod Jaiswal
Vinod Jaiswal
author image
Vinod Jaiswal

Vinod Jaiswal is an experienced data engineer, excels in transforming raw data into valuable insights. With over 8 years in Databricks, he designs and implements data pipelines, optimizes workflows, and crafts scalable solutions for intricate data challenges. Collaborating seamlessly with diverse teams, Vinod empowers them with tools and expertise to leverage data effectively. His dedication to staying updated on the latest data engineering trends ensures cutting-edge, robust solutions. Apart from technical prowess, Vinod is a proficient educator. Through presentations and mentoring, he shares his expertise, enabling others to harness the power of data within the Databricks ecosystem.
Read more about Vinod Jaiswal

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Integrating a Log Analytics workspace with Azure Databricks

In this recipe, you will learn how to integrate a Log Analytics workspace with Azure Databricks. You will also learn how to send Databricks service metrics and Databricks application metrics to the Log Analytics workspace.

Getting ready

Before starting, we need to ensure we have access to a subscription and have contributor access to that subscription. To send Databricks service metrics to a Log Analytics workspace, we will need the Azure Databricks Premium tier.

You can follow along by running the steps in the 5_1.Using Azure Key Vault Secrets in Notebooks notebook. This will allow you to send Databricks log data to a Log Analytics workspace (https://github.com/PacktPublishing/Azure-Databricks-Cookbook/tree/main/Chapter05/).

How to do it…

To send metrics to the Log Analytics workspace, we need to turn on diagnostics in the Azure Databricks service. Following this, we must send the service or application...

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Azure Databricks Cookbook
Published in: Sep 2021Publisher: PacktISBN-13: 9781789809718

Authors (2)

author image
Phani Raj

Phani Raj is an experienced data architect and a product manager having 15 years of experience working with customers on building data platforms on both on-prem and on cloud. Worked on designing and implementing large scale big data solutions for customers on different verticals. His passion for continuous learning and adapting to the dynamic nature of technology underscores his role as a trusted advisor in the realm of data architecture ,data science and product management.
Read more about Phani Raj

author image
Vinod Jaiswal

Vinod Jaiswal is an experienced data engineer, excels in transforming raw data into valuable insights. With over 8 years in Databricks, he designs and implements data pipelines, optimizes workflows, and crafts scalable solutions for intricate data challenges. Collaborating seamlessly with diverse teams, Vinod empowers them with tools and expertise to leverage data effectively. His dedication to staying updated on the latest data engineering trends ensures cutting-edge, robust solutions. Apart from technical prowess, Vinod is a proficient educator. Through presentations and mentoring, he shares his expertise, enabling others to harness the power of data within the Databricks ecosystem.
Read more about Vinod Jaiswal