Azure Databricks Cookbook: Accelerate and scale real-time analytics solutions using the Apache Spark-based analytics service

by Phani Raj, Vinod Jaiswal

Overview

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.

Product Details

ISBN-13:	9781789618556
Publisher:	Packt Publishing
Publication date:	09/17/2021
Sold by:	Barnes & Noble
Format:	eBook
Pages:	452
Sales rank:	994,827
File size:	36 MB
Note:	This product may take a few minutes to download.

About the Author

Phani Raj is an Azure data architect at Microsoft. He has more than 12 years of IT experience and works primarily on the architecture, design, and development of complex data warehouses, OLTP, and big data solutions on Azure for customers across the globe.
Vinod Jaiswal is a data engineer at Microsoft. He has more than 13 years of IT experience and works primarily on the architecture, design, and development of complex data warehouses, OLTP, and big data solutions on Azure using Azure data services for a variety of customers. He has also worked on designing and developing real-time data processing and analytics reports from the data ingested from streaming systems using Azure Databricks.

Table of Contents

Table of Contents

1. Creating an Azure Databricks Service
2. Reading and Writing Data from and to Various Azure Services and File Formats
3. Understanding Spark Query Execution
4. Working with Streaming Data
5. Integrating with Azure Key-Vault, App Configuration and Log Analytics
6. Exploring Delta Lake in Azure Databricks
7. Implementing Near-Real-Time Analytics and Building Modern Data Warehouse
8. Databricks SQL
9. DevOps Integrations and Implementing CI/CD for Azure Databricks
10. Understanding Security and Monitoring in Azure Databricks