Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead…

The Netflix Tech Blog provides insights into the engineering practices, architecture, and innovations behind the Netflix streaming platform. Developers can learn about Netflix's microservices architecture, data infrastructure, and machine learning algorithms, as well as explore topics such as video encoding, content delivery, and personalization algorithms used in the Netflix service.

Netflix TechBlog

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.

Incremental Processing using Netflix Maestro and Apache Iceberg