For any organization which uses Databricks, integrating this big data platform into their own tool environments can prove a complex task. In this course, Integrating SQL and ETL Tools with Databricks, you’ll learn how Databricks looks into two specific tools – SQL Workbench/J and Prophecy – and links them within the Databricks workspace. First, you’ll discover the need or tool integrations, how these can help engineers be more productive, and how these can avoid adding to the complexity of a tooling environment. Then, you’ll explore linking an Azure Databricks workspace with a popular SQL client – namely SQL Workbench/J. Finally, you’ll learn the steps involved in integrating a Prophecy workflow with Databricks. Once you complete this course, you will be well-versed with the types of integrations which are possible with Databricks, and how to link up two popular tools with this big data service.
Author Name: Kishan Iyer
Author Description:
I have a Masters in Computer Science from Columbia University and have worked previously as a developer and DevOps engineer. I now work at Loonycorn which is a studio for high-quality video content. My interests lie in the broad categories of Big Data, ML and Cloud.

Table of Contents

• Course Overview
  2mins
• Exploring Azure Databricks Integrations
  11mins
• Integrating Azure Databricks with SQL Workbench/J
  22mins
• Linking Azure Databricks with Prophecy
  26mins