Deploy Workloads with Databricks Workflows
By scheduling tasks with Databricks Jobs, applications can be run automatically to keep tables in the Lakehouse fresh. Using Databricks SQL to schedule updates to queries and dashboards allows quick insights using the newest data. In this course, students will be introduced to task orchestration using the Databricks Workflow Jobs UI. Optionally, they will configure and schedule dashboards and alerts to reflect updates to production data pipelines.
In this course, you’ll learn how to orchestrate data pipelines with Databricks Workflow Jobs and schedule dashboard updates to keep analytics up-to-date. We’ll cover topics like getting started with Databricks Workflows, how to use Databricks SQL for on-demand queries, and how to configure and schedule dashboards and alerts to reflect updates to production data pipelines.
Beginner-level familiarity with basic cloud concepts (virtual machines, object storage, identity management)
Ability to perform basic code development tasks (create compute, run code in notebooks, use basic notebook operations, import repos from git, etc)
Intermediate familiarity with basic SQL concepts (CREATE, SELECT, INSERT, UPDATE, DELETE, WHILE, GROUP BY, JOIN, etc.)
Self-Paced
Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos
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Upcoming Public Classes
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Career Workshop/
March 20