Use Case: Migrating Hadoop Workloads

This learning path aims to upskill Google Cloud partners to perform the specific tasks associated with priority workloads.

Learners will perform the tasks of migrating workloads from Hadoop environments to corresponding Google Cloud services and hosted products. The following will be addressed: - The Hadoop ecosystem and products, - Hadoop architecture and post migration architectures to Google Cloud, - Assessment, - Data transfer options, - Workload migrations, namely: Spark to Dataproc Serverless, Apache Oozie to Composer (Airflow), and Hive to BigQuery, - Security and governance, and - Logging and Monitoring.

Sample data will be used during all three migrations.

Learners will complete several labs that focus on the process of transferring schema, data and related processes to corresponding Google Cloud products.

Finally, earn a Skill Badge by successfully completing a challenge lab that validates your newly gained knowledge and capabilities!

This full learning path will take about 2 hours and 30 minutes to complete.