Azure Databricks Cookbook

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.

Type
ebook
Category
Data
publication date
2021-09-17
what you will learn

Read and write data from and to various Azure resources and file formats
Build a modern data warehouse with Delta Tables and Azure Synapse Analytics
Explore jobs, stages, and tasks and see how Spark lazy evaluation works
Handle concurrent transactions and learn performance optimization in Delta tables
Learn Databricks SQL and create real-time dashboards in Databricks SQL
Integrate Azure DevOps for version control, deploying, and productionizing solutions with CI/CD pipelines
Discover how to use RBAC and ACLs to restrict data access
Build end-to-end data processing pipeline for near real-time data analytics

no of pages
452
duration
904
key features
Integrate with Azure Synapse Analytics, Cosmos DB, and Azure HDInsight Kafka Cluster to scale and analyze your projects and build pipelines * Use Databricks SQL to run ad hoc queries on your data lake and create dashboards * Productionize a solution using CI/CD for deploying notebooks and Azure Databricks Service to various environments
approach
With a problem solution approach, this book teaches how to create end-end big data solution using data from various sources like batch and streaming and how to version control, deploy the solution to production and monitor the solution.
audience
This recipe-based book is for data scientists, data engineers, big data professionals, and machine learning engineers who want to perform data analytics on their applications. Prior experience of working with Apache Spark and Azure is necessary to get the most out of this book.
meta description
Get to grips with building and productionizing end-to-end big data solutions in Azure and learn best practices for working with large datasets
short description
The Azure Databricks Cookbook shows you how to work with the latest as well as older versions of Apache Spark and integrate with various Azure resources for orchestrating, deploying, and monitoring big data solutions. You'll use Azure Databricks to build end-to-end solutions and address challenges in securing, productionizing, and monitoring them.
subtitle
Accelerate and scale real-time analytics solutions using the Apache Spark-based analytics service
keywords
SQL data analytics, Azure Databricks, ETL, Cosmos DB, DevOps
Product ISBN
9781789809718