Integrating SQL and ETL Tools with Databricks

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Course Features

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Duration

62 minutes

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Delivery Method

Online

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Available on

Downloadable Courses

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

62 minutes

Course Description

Databricks integration into an organization's tool environment can be a difficult task for any company. This course, Integrating SQL & ETL Tools with Databricks teaches you how Databricks examines two tools, SQL Workbench/J & Prophecy, and links them within the Databricks workspace. You'll first learn about the importance of tool integrations and how they can be used to increase productivity. Next, we'll show you how to link an Azure Databricks workspace and a popular SQL client such as SQL Workbench/J. The final step is to integrate a Prophecy workflow using Databricks. After completing this course, you'll be familiar with Databricks and the various integrations that are possible. You will also learn how to connect two popular tools to this big data service.

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

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

Course Instructors

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Kishan Iyer

Instructor

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. ...
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