Workflow Automation with Databricks Jobs
Workflow Automation with Databricks Jobs
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 23m | 69 MB
Instructor: Harsh Karna
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 23m | 69 MB
Instructor: Harsh Karna
Learn how to automate workflows in Databricks with Jobs. This course teaches you to create, manage, and monitor Databricks Jobs, design workflows like sequence, funnel, and fan-out, and enhance productivity in data engineering tasks.
What you'll learn
Automating workflows in data engineering can save time, reduce errors, and improve efficiency. In this course, Workflow Automation with Databricks Jobs, you’ll gain the ability to automate and manage workflows effectively in Databricks.
First, you’ll explore the purpose and components of Databricks Jobs, including tasks, clusters, and triggers. Next, you’ll discover how to create and configure jobs, including parameters, retries, and alert setups. Finally, you’ll learn how to design advanced workflows, including sequence, funnel, and fan-out types, and monitor job performance to resolve issues.
When you’re finished with this course, you’ll have the skills and knowledge of workflow automation needed to streamline data engineering processes using Databricks.
Workflow Automation with Databricks Jobs
