What you can do with Azure Databricks
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20 things you can do
Azure Databricks
Azure Databricks is an Apache Spark-based analytics platform optimized for Microsoft Azure. It provides a collaborative workspace for data engineers, data scientists, and analysts to work together on big data and machine learning workloads.
20 multi-step recipesRecipes: multi-step jobs
Back Up a Notebook by Export and Re-importExport a notebook and re-import it to a backup path.Cancel an Active Job Run
Cancel a job run and wait until it is fully TERMINATED.Clean Up the Latest Completed Job Run
Delete a job's most recent completed run after confirming it ended.Cluster Health Diagnostics
Inspect a cluster's state and recent events for diagnosis.Create a Directory and Import a Notebook
Create a workspace directory, import a notebook, and list to verify.Create a Job and Run It to Completion
Create a notebook job, run it now, and wait for the run to finish.Import a Notebook and Run It
Import a notebook into the workspace, confirm it, and run it.Overwrite Job Settings and Verify
Overwrite all settings of a job and verify the new configuration.Pin the First Listed Cluster
List clusters and pin the first one returned.Preflight and Create a Cluster
Resolve a Spark version and node type, then create a cluster.Provision a Cluster and Run a Job on It
Create a cluster, wait for RUNNING, then create and run a notebook job.Provision and Wait for Cluster
Create a Databricks cluster and wait until it is RUNNING.Resize a Running Cluster and Wait
Resize a running cluster's worker count and wait for it to settle.Restart a Running Cluster and Wait
Restart a running cluster and wait until it is RUNNING again.Run an Existing Job and Wait
Trigger an existing job with parameters and wait for the run to finish.Safely Delete a Workspace Directory
Inspect a directory, confirm its type, then recursively delete it.Start a Terminated Cluster and Wait
Start a terminated cluster and wait until it is RUNNING.Submit a One-time Run and Wait
Submit a one-time notebook run and wait for it to finish.Terminate and Permanently Delete a Cluster
Terminate a cluster, wait for TERMINATED, then permanently delete it.Update a Job and Re-run It
Partially update a job, then run it and wait for the run to finish.