End-to-end migration walkthroughs

Complete how-to tasks that walk from Cloudera Migration Assistant deployment through workload execution for each supported migration path on CDP.

These walkthroughs are for operators who want one narrative from master and agent deployment through migration execution. Each topic reuses procedures from the Administrator and Migration guides so install, security, and workload steps are not duplicated here.

What you can do with Cloudera Migration Assistant

After you deploy the master and agents, you register source and target clusters, run scans to inventory data and services, and group assets into collections for migration plans. Typical data paths on CDP include HDFS to HDFS replication with Cloudera Replication Manager, planning and deploying an Ozone storage layout on the target, and migrating HDFS data into Ozone. You can also follow technical preview walkthroughs for Cloudera Data Engineering Airflow DAGs to Git and for Ranger policy discovery. Code Migrator is not available on CDP in release 4.1.

For install, TLS, databases, and platform configuration, use the Administrator guide. For individual tasks (registering a cluster, running a scan, creating a collection), use the Migration guide. Use the table below when you want a single end-to-end sequence.

Choose a walkthrough

Migration path End-to-end topic
HDFS to HDFS Migrating HDFS data to HDFS end to end
Ozone storage layout (technical preview) Planning Ozone storage layout end to end
HDFS to Ozone Migrating HDFS data to Ozone end to end
Cloudera Data Engineering Airflow DAGs to Cloudera Workflow Orchestrator Git (technical preview) Migrating Airflow DAGs from to Git end to end
Ranger policy discovery (technical preview) Discovering Ranger policies end to end

Supported platforms and version requirements are listed in Supported platforms and migration paths.

Screenshot backlog

End-to-end workflow topics may reference screenshots that are not yet captured in this release. Stage builds show placeholder figures where noted in individual workflows.