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Course
- Data
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.
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.
Table of contents
About the author
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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