Use cases for migrating to Iceberg

A key use case for migrating Hive tables to Iceberg is the elimination of data segmentation, or data silos, and duplication. Removing these silos facilitates the tedious preparation, curation, cleansing, and moving of data before you can get any meaningful insights from your data. This use case and others are summarized.

The following list includes other use cases for migrating Hive tables to Iceberg:

• End-to-end, multi-function analytics

  Cloudera provides an entire lifecycle for lower cost of ownership and architectural simplicity.

• Regulatory compliance

  Improved visibility provided by quick insights into your data to lower risk and improve infosec management.

• Data protection and recovery

  Data managed by Cloudera services are protected by Cloudera Shared Data Experience (SDX), an integrated set of security and governance technologies.

• Compliance with General Data Protection Regulator/California Consumer Privacy Act (GDPR/CCPA)

  Iceberg supports ACID-compliance with row-level updates and deletes.