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)

Cluster access control

Administrators can enable cluster access control to provide the required rights for Azure Databricks users. By default, users have the right to create and modify clusters unless cluster access control is enabled.

There are two types of cluster permissions:

  • The Allow Cluster Creation permission allows us to create clusters.
  • The Cluster-level permission controls how we use and modify clusters.

The following permissions can be controlled by enabling Cluster access control:

  • The administrator can control whether a user has rights for cluster creation.
  • A user with the Can Manage permission for a cluster can provide rights that state whether a user can manage that cluster.

    Note

    Cluster access control is only available in the Azure Databricks premium plan.

Getting ready

Before getting started, ensure you have completed Chapter 1, Creating an Azure Databricks Service, where you learned how to create an Azure Databricks workspace...