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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

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...

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