Incremental processing allows for processing new or changed data in workflows, reducing cost and execution time. Netflix Maestro and Apache Iceberg provide a clean and efficient incremental processing solution, addressing challenges such as data freshness, data accuracy, and backfilling datasets. Incremental processing patterns include directly appending change data, using change data as a filter list, and using change ranges in business logic.
Table of contents
Incremental Processing using Netflix Maestro and Apache IcebergIntroductionApproach OverviewEmerging Incremental Processing PatternsUse casesLooking ForwardAcknowledgements64 Impressions