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Azure Databricks Cookbook

You're reading from Azure Databricks Cookbook Accelerate and scale real-time analytics solutions using the Apache Spark-based analytics service

Product type Paperback

Published in Sep 2021

Publisher Packt

ISBN-13 9781789809718

Length 452 pages

Edition 1st Edition

Languages

SQL

Tools

Azure

Concepts

Data Streaming

Authors (2):

Vinod Jaiswal

Phani Raj

View More author details

Table of Contents (12) Chapters

Preface

1. Chapter 1: Creating an Azure Databricks Service

2. Chapter 2: Reading and Writing Data from and to Various Azure Services and File Formats FREE CHAPTER

3. Chapter 3: Understanding Spark Query Execution

4. Chapter 4: Working with Streaming Data

5. Chapter 5: Integrating with Azure Key Vault, App Configuration, and Log Analytics

6. Chapter 6: Exploring Delta Lake in Azure Databricks

7. Chapter 7: Implementing Near-Real-Time Analytics and Building a Modern Data Warehouse

8. Chapter 8: Databricks SQL

9. Chapter 9: DevOps Integrations and Implementing CI/CD for Azure Databricks

10. Chapter 10: Understanding Security and Monitoring in Azure Databricks

11. Other Books You May Enjoy

Introduction to visualizations in Databricks SQL

In this recipe, we will learn how to create different visualizations in Databricks SQL queries and how to change certain properties of visualizations.

Getting ready

Before starting, you need to ensure you execute the following notebook so that the tables used in the queries are created:

Running the preceding notebooks will create Customer, Orders, and VehicleSensor related Delta tables. Ensure you complete the Running SQL queries in Databricks SQL and Using query parameters and filters recipes as you will be using the queries created in those recipes.

How to do it…

In this section, you will learn how to create visualizations by running through the following...

The rest of the chapter is locked

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Authors (2)

Raj

Raj

Rahul Raj has more than 7 years of IT industry experience in software development, business analysis, client communication, and consulting on medium-/large-scale projects in multiple domains. Currently, he works as a lead software engineer in a top software development firm. He has extensive experience in development activities comprising requirement analysis, design, coding, implementation, code review, testing, user training, and enhancements. He has written a number of articles about neural networks in Java and they are featured by DL4J/ official Java community channels. He is also a certified machine learning professional, certified by Vskills, the largest government certification body in India.

See other products by Raj

Jaiswal

Jaiswal

Vinod Jaiswal is an experienced data engineer, excels in transforming raw data into valuable insights. With over 8 years in Databricks, he designs and implements data pipelines, optimizes workflows, and crafts scalable solutions for intricate data challenges. Collaborating seamlessly with diverse teams, Vinod empowers them with tools and expertise to leverage data effectively. His dedication to staying updated on the latest data engineering trends ensures cutting-edge, robust solutions. Apart from technical prowess, Vinod is a proficient educator. Through presentations and mentoring, he shares his expertise, enabling others to harness the power of data within the Databricks ecosystem.

See other products by Jaiswal

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