Apache Hive

 🚀 A lot of exciting things are happening in Apache Hive! 💡 One highlight: Bucket Map Join is now available for Apache Iceberg tables.This means faster joins and better query performance on large datasets.  📝 Dive into the details in Shohei O.’s blog: 👉 https://lnkd.in/g9pkFcQg #ApacheHive #ApacheIceberg #BigData #DataWarehousing

🚀 A quick recap from ApacheCon: Apache Hive Replication V3 – an insightful session by Pravin Sinha, diving into the latest advancements in Hive’s replication framework. 🎥 Watch the session here: https://lnkd.in/gJXWqMk4 #ApacheHive #BigData #DisasterRecovery #DataWarehouse

🚀 Apache Hive 4.x now comes with out-of-the-box Apache Iceberg support – unlocking powerful new capabilities for modern data warehousing. One of the highlights is Iceberg Branches & Tags support in Hive, enabling cleaner data versioning and more elegant ETL workflows. Check out these deep dives by our developers to learn more: 1️⃣ Apache Hive 4.x with Iceberg Branches & Tags, by Ayush Saxena 🔗 https://lnkd.in/gnHttA_A 2️⃣ Elegant ETL with Apache Iceberg Branching, by Attila Turoczy 🔗 https://lnkd.in/gs3J9fcZ #ApacheHive #ApacheIceberg #BigData #DataWarehousing

🚀 Apache Hive™ 4.1.0 is now available! This release brings several major enhancements: ✅ JDK 17 compile time support ✅ Hive Metastore as a standalone component – available in binary & Docker image formats ✅ OpenTelemetry support for improved observability ✅ Enhanced Apache Iceberg integration – storage-partitioned joins, partition-level column stats, and table compaction ✅ IPv6 compatibility ✅ REST-based catalog server backed by the Hive Metastore ✅ Upgraded Apache Calcite to 1.33.0 for improved query optimization 🔗 Compatible with Apache Hadoop 3.4.1 and Apache Tez 0.10.5 Hive 4.1.0 represents another milestone in Hive’s journey—bringing stronger Iceberg support, cloud-native readiness, improved observability, and performance at scale. A big thank you to all the contributors and community members who made this release possible! #ApacheHive #BigData #OpenSource #DataEngineering

Apache Hive is here on LinkedIn 👋 We’re glad to finally have a space for Apache Hive™ here. Hive is an open source, community-driven data warehouse that makes it simple to query and manage data at massive scale with the familiarity of SQL. From powering daily batch workloads to enabling interactive analytics, Hive remains at the core of some of the world’s largest data platforms. This page is where you’ll find updates from the Hive community — release news, hands-on guidance, and stories from the people building and running Hive every day. Whether you’ve been using Hive for years or are just getting started, hit follow to stay connected. And drop a quick hello in the comments — tell us who you are and we’d love to know how Hive fits into your world. #ApacheHive #BigData #DataWarehouse #SQL #OpenSource