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)

Chapter 8: Databricks SQL

Databricks SQL provides a great experience for SQL developers, BI developers, analysts, and data scientists to run ad hoc queries on large volumes of data in a data lake, creating various visualizations and rich dashboards.

Databricks SQL provides the following features:

  • A fully managed SQL endpoint for running all SQL queries
  • A query editor for writing SQL queries
  • Visualizations and dashboards for providing various insights into the data
  • Integration with Azure Active Directory, providing enterprise-level security for data by controlling the access to tables using role-based access controls
  • Integration with Power BI for creating rich visualizations and sharing meaningful insights from the data in a data lake
  • The ability to create alerts on a field returned by a query on meeting a threshold value and notifying users

By the end of this chapter, you will have learned how you can use Databricks SQL to write ad hoc queries...