Book Image

Azure Databricks Cookbook

By : Phani Raj, Vinod Jaiswal
Book Image

Azure Databricks Cookbook

By: Phani Raj, Vinod Jaiswal

Overview of this book

Azure Databricks is a unified collaborative platform for performing scalable analytics in an interactive environment. The Azure Databricks Cookbook provides recipes to get hands-on with the analytics process, including ingesting data from various batch and streaming sources and building a modern data warehouse. The book starts by teaching you how to create an Azure Databricks instance within the Azure portal, Azure CLI, and ARM templates. You’ll work through clusters in Databricks and explore recipes for ingesting data from sources, including files, databases, and streaming sources such as Apache Kafka and EventHub. The book will help you explore all the features supported by Azure Databricks for building powerful end-to-end data pipelines. You'll also find out how to build a modern data warehouse by using Delta tables and Azure Synapse Analytics. Later, you’ll learn how to write ad hoc queries and extract meaningful insights from the data lake by creating visualizations and dashboards with Databricks SQL. Finally, you'll deploy and productionize a data pipeline as well as deploy notebooks and Azure Databricks service using continuous integration and continuous delivery (CI/CD). By the end of this Azure book, you'll be able to use Azure Databricks to streamline different processes involved in building data-driven apps.
Table of Contents (12 chapters)

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...