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)

Preface

Azure Databricks provides the latest and older versions of Apache Spark and allows you to integrate with various Azure resources for orchestrating, deploying, and monitoring your big data solution. This book shows you how you can ingest and transform data coming from various sources and formats and build a modern data warehouse solution that meets the demands of near real-time data requirements in the data warehouse.

You will begin with how to spin up an Azure Databricks service and what cluster options are available. You will gain knowledge of how to process data from various files formats and sources, including Kafka, Event Hub, Azure SQL Databases, Azure Synapse Analytics, and Cosmos DB. Once you know how to read and write data from and to various sources, you will be building end-to-end big data solutions using large datasets and streaming data.

Once the big data solution has been built, you will learn how to deploy notebooks to various environments such as UAT and production. Later on, you will learn security aspects associated with data isolation, where you will learn how to restrict access to the data in ADLS that AAD users can see while reading the data from Azure Databricks. Finally, you will learn how to monitor your Azure Databricks cluster utilization by learning about Ganglia reports.