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Up and Running with Databricks

This course will teach you how to set up, manage, and utilize Databricks to streamline data engineering, analytics, and machine learning workflows.

Beginner
1h 11m
(12)

Created by Janani Ravi

Last Updated Jan 17, 2025

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  • Course

Up and Running with Databricks

This course will teach you how to set up, manage, and utilize Databricks to streamline data engineering, analytics, and machine learning workflows.

Beginner
1h 11m
(12)

Created by Janani Ravi

Last Updated Jan 17, 2025

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What you'll learn

Data professionals face the challenge of managing and analyzing large-scale data efficiently while enabling collaboration across teams. In this course, Up and Running with Databricks, you’ll gain the ability to set up and use the Databricks platform to address these challenges effectively. First, you’ll explore the core components of Databricks, including workspaces, clusters, and notebooks. Next, you’ll discover how to configure and optimize a Databricks workspace, including creating clusters and SQL warehouses, setting roles and permissions, and running notebooks for data exploration and analysis. Finally, you’ll learn how to prepare a Databricks environment by importing datasets, configuring libraries, collaborating in shared notebooks, and executing Spark jobs. When you’re finished with this course, you’ll have the fundamentals of Databricks needed to streamline data engineering, analytics, and machine learning workflows in real-world scenarios.

Up and Running with Databricks
Beginner
1h 11m
(12)
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About the author
Janani Ravi - Pluralsight course - Up and Running with Databricks
Janani Ravi
192 courses 4.5 author rating 6281 ratings

A problem solver at heart, Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework.

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