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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

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Product type Paperback
Published in Sep 2021
Publisher Packt
ISBN-13 9781789809718
Length 452 pages
Edition 1st Edition
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Authors (2):
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Vinod Jaiswal Vinod Jaiswal
Author Profile Icon Vinod Jaiswal
Vinod Jaiswal
Phani Raj Phani Raj
Author Profile Icon Phani Raj
Phani Raj
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Toc

Table of Contents (12) Chapters Close

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

Creating dashboards in Databricks SQL

Azure Databricks Databricks SQL allows users to create various dashboards based on the queries and visualizations that are already built. This helps businesses to get a visual representation of data for various KPIs.

In this recipe, you will learn how to create visualizations in Databricks SQL and how to pin a visualization from various queries to the dashboard.

Getting ready

Before starting, we need to ensure we have executed the following notebook. The following notebook creates the required tables on which we can build our visualizations and dashboard:

https://github.com/PacktPublishing/Azure-Databricks-Cookbook/blob/main/Chapter07/7.1-End-to-End%20Data%20Pipeline.ipynb

Also create the visualization as mentioned in the Introduction to visualizations in Databricks SQL recipe.

How to do it…

Let's learn how to create a dashboard by running through the following steps:

  1. From the Databricks SQL homepage go...
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