Migrating Apache Hadoop workloads to Google Cloud and Managed Service for Apache Spark lets you decouple compute from storage and reduce cluster maintenance overhead. This transition helps you scale big data processing dynamically while lowering operating costs.

To plan your architecture and transfer your datasets, see [Migrating On-Premises Hadoop Infrastructure to Google Cloud](https://docs.cloud.google.com/architecture/hadoop) and [Migrating HDFS Data from On-Premises to Google Cloud](https://docs.cloud.google.com/architecture/hadoop/hadoop-gcp-migration-data).