Data Storage & Computing


Track Chairs : Gang Li, Maxwell Guo, Uma Maheswara Rao Gangumalla, Nandakumar Vadivelu

Big data is an important branch of computer science,Researches and innovations in the big data storage and computing have never stopped. Big Data is leading and changing various industries and is inseparable from our lives.

Big Data is also a very important part of ASF. ASF has so many big data storage and computing projects, such as Apache Hadoop, Apache Spark, Apache HBase, Apache Ozone, Apache CarbonData, Apache Cassandra, Apache ZooKeeper etc.

In this topic, you will learn the cutting-edge trends of these technologies and the practical experience, principles, architecture analysis and other exciting content from first-line users.

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Apache Cassandra Drivers Best Practices: Maximize Performance and Robustness Chinese Session Siyao He

Apache Cassandra: Past, Present, and Future English Session Guo Chao

Apache Ozone Best Practices at Shopee Chinese Session Hui Fei

Apache Ozone: Balance Data Through Disk Balancer Chinese Session Sammi Chen

Celeborn’s Revolution in Multi-Engine Support, Performance Mastery, and Enterprising Innovation Chinese Session Jiashu Xiong

Cross-Version Upgrade to HBase 2.3 and Stability Governance at Xiaomi Chinese Session Zhiwen Deng

Eloq ConvergedDB on Apache Cassandra: Built for Agentic AI English Session Hubert Zhang

Large-scale Shuffle with Apache Celeborn at Ant Group Chinese Session Erik Fang

Mastering Large-Scale Shuffle: The Dream11 Playbook with Remote Shuffle Service English Session Ravi Rana

Production Practice of Apache Gluten and Apache Celeborn at Xiaomi Chinese Session Yongyuan Liang

The Evolution of Apache Kvrocks: Search, Vector, and Beyond Chinese Session Mingyang Liu

The Exploration and Practice of State Storage in Tencent Big Data Flink with Separation of Computati Chinese Session YanPeng shi