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)

Understanding the CI/CD process for Azure Databricks

In this recipe, we will learn what the advantage is of using the Continuous Integration and Continuous Delivery (CI/CD) process while working with Azure Databricks.

CI/CD is a method to frequently integrate code changes with a repository and deploy them to other environments. It offers an automated way of integrating, testing, and deploying code changes. CI in Azure Databricks enables developers to regularly build, test, and merge code changes to a shared repository. It's a solution for the very common problem of having multiple developers working on the same code or having multiple branches that could cause a conflict with each other in the software development life cycle.

CD refers to continuous delivery and/or continuous deployment. Continuous delivery means developers' changes are automatically tested and merged or uploaded to a repository such as Azure DevOps or Git. From there, changes can be deployed to other...