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)

Introduction to jobs, stages, and tasks

In this recipe, you will learn how Spark breaks down an application into job, stages, and tasks. You will also learn how to view directed acyclic graphs (DAGs) and how pipelining works in Spark query execution.

By the end of this recipe, you will have learned how to check the DAG you've created for the query you have executed and look at the jobs, stages, and tasks associated with a specific query.

Getting ready

You can follow along by running the steps in the 3-1.Introduction to Jobs, Stages, and Tasks notebook. This can be found in your local cloned repository, in the Chapter03 folder (https://github.com/PacktPublishing/Azure-Databricks-Cookbook/tree/main/Chapter03). Follow these steps before running the notebook:

  1. Mount your ADLS Gen-2 account by following the steps mentioned in the Mounting Azure Data Lake Storage (ADLS) Gen-2 and Azure Blob Storage to the Azure Databricks filesystem recipe of Chapter 2, Reading and...