2 modules · ~14 min
Data & Databricks Track
How a notebook actually runs on a cluster — the workspace, the compute, the lakehouse underneath, and the cluster choice that quietly decides your bill.
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What you'll be able to do
Trace how a notebook actually runs in Databricks — workspace, cluster, notebook, jobs, repos, libraries and Unity Catalog
Tell the notebook you edit from the compute that runs it, and explain what happens when a cluster terminates
Explain what a lakehouse is, and how storage, tables and catalogs sit underneath the notebook you are looking at
Choose the right cluster — small vs. large, single node vs. autoscaling, job vs. all-purpose — and see how that choice changes cost
Explain why an idle all-purpose cluster is the most common source of unexpected Databricks spend
Modules
2 in this track- Section 1 — Databricks & Spark Foundations
- 2 lessons · 15 minQuizzes included · titles visible after you register.