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# Uber’s Hive Federation Decentralizes 16K Datasets and 10+ PB for Zero-Downtime Analytics at Scale

**[InfoQ](https://daily.dev/sources/infoq)** · 3 min read · 4 upvotes · 0 comments

## Summary

Uber redesigned its Hive data warehouse by federating over 16,000 datasets totaling 10+ petabytes, moving from a monolithic instance to a decentralized, domain-specific architecture. The migration uses a pointer-based approach in the Hive Metastore to redirect datasets to new HDFS locations without duplicating data, ensuring zero downtime for analytics and ML pipelines. Four key components handle the process: Bootstrap Migrator, Realtime Synchronizer, Batch Synchronizer, and Recovery Orchestrator. The result is improved ACL enforcement, reduced noisy-neighbor effects, better governance, and reclamation of over 1 PB of HDFS space through removal of stale datasets.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.infoq.com/news/2026/04/uber-hive-decentralized-data/>

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Tags: [#big-data](https://daily.dev/tags/big-data), [#apache-spark](https://daily.dev/tags/apache-spark)

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