https://www.infoq.com InfoQ Data Warehouse News feed https://www.infoq.com/news/2026/01/uber-hivesync-data-lake/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Data+Warehouse-news <img src="https://res.infoq.com/news/2026/01/uber-hivesync-data-lake/en/headerimage/generatedHeaderImage-1768281800202.jpg"/><p>Uber’s HiveSync is a sharded, cross-region batch replication system keeping Hive/HDFS data consistent across multiple regions. Handling 5M daily Hive events and 8PB of data replication, it uses event-driven jobs, hybrid RPC and DistCp strategies, DAG-based orchestration, and dynamic sharding, enabling disaster recovery, horizontal scaling, and 99.99% cross-region data accuracy.</p> <i>By Leela Kumili</i> Event Driven Architecture Hive Hadoop ETL Sharding MySQL Apache Hive Deployment / Datacenter State-machine Apache Hadoop Orchestration RPC Data Warehouse Database Replication Open Source Data Lake Architecture & Design Development news Fri, 16 Jan 2026 15:00:00 GMT https://www.infoq.com/news/2026/01/uber-hivesync-data-lake/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Data+Warehouse-news Leela Kumili 2026-01-16T15:00:00Z /news/2026/01/uber-hivesync-data-lake/en