Data Storage & Computing

Track Chairs : Gang Li

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.

2023-08-18

13:30 GMT+8 What's new in the recent and upcoming HBase releases Chinese Session 张铎

14:00 GMT+8 Deep dive into resource manageability in ozone storage English Session Sumit Agrawal

14:30 GMT+8 Spark SQL Shuffle Join Improvement at eBay Chinese Session 王玉明

15:00 GMT+8 Bytedance 100 billion file HDFS clustering practice Chinese Session Xiong Mu

15:45 GMT+8 SPARK CLOUD NATIVE PRACTICE - POWERED BY APACHE KYUUBI & CELEBORN(INCUBATING) Chinese Session 潘成

16:15 GMT+8 Resilient Data: Exploring Replication and Recovery in Apache Ozone English Session Sadanand Shenoy

16:45 GMT+8 Application of Linkis in Lixiang Automotive Chinese Session Xi Shihao

2023-08-19

13:30 GMT+8 Data Security: How Apache Ozone Ensures Storage and Access Security of Data Chinese Session Chen Yi

14:00 GMT+8 Smooth Migration Practice from MapReduce to Spark at ByteDance Chinese Session Wei Zhongjia

14:30 GMT+8 Apache Kudu in the application and practice of divine policy Chinese Session 汪细勖

15:00 GMT+8 Xiaomi HDFS data governance practices and evolution Chinese Session 王成伟

15:45 GMT+8 Apache Celeborn(Incubating): Make Spark and Flink faster, more stable and more resilient Chinese Session 周克勇

16:15 GMT+8 Build data applications quickly and efficiently based on Apache Linkis Chinese Session 王和平

16:45 GMT+8 How increasing partition size in Apache Cassandra can reduce disk usage by over 30% English Session John Del Castillo