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# Incremental Processing using Netflix Maestro and Apache Iceberg

**[Netflix TechBlog](https://daily.dev/sources/netflix)** · 17 min read · 1 upvotes · 0 comments

## Summary

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.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://netflixtechblog.com/incremental-processing-using-netflix-maestro-and-apache-iceberg-b8ba072ddeeb?source=rss----2615bd06b42e---4>

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Tags: [#apache-iceberg](https://daily.dev/tags/apache-iceberg), [#backend](https://daily.dev/tags/backend)

[View this post on daily.dev](https://daily.dev/posts/incremental-processing-using-netflix-maestro-and-apache-iceberg-00tdufo5q)

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