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Netflix Creates Incremental Processing Solution Using Maestro and Apache Iceberg
InfoQ - AI, ML & Data Engineering www.infoq.com
Netflix created a new solution for incremental processing in its data platform. The incremental approach reduces the cost of computing resources and execution time significantly as it avoids processing complete datasets. The company used its Maestro workflow engine and Apache Iceberg to improve data freshness and accuracy and plans to provide managed backfill capabilities.
By Rafal Gancarzaccuracy ai apache apache iceberg architecture & design big data bpm change-data-capture computing computing resources cost data data analytics data pipelines data platform datasets iceberg incremental ml & data engineering netflix platform processing resources solution the company workflow workflow engine