ApacheCon Asia - 流处理 Streaming
出品人 : 李钰
14:50 GMT+8Spark Structured Streaming在数据湖准实时场景中的应用中文演讲彭志伟
TRACK CHAIRS : YU LI
Streaming data processing is a big deal in big data these days, businesses crave ever-more timely insights into their data, and what was once a ‘batch’ mindset is quickly being replaced with stream processing. More and more companies, small and large, are rethinking their architecture with real-time context at the forefront, and starting to build their streaming platforms with powerful open source engines such asApache Flink,Apache Spark,Apache Kafka,Apache Pulsar,Apache Storm, etc.
In this topic, you will not only learn about the practical experience of first-line users in applying these Apache projects to their in-production environment, but also the latest developments in the ecology of these Apache projects, and visions on where streaming technology is heading in the future.
13:30 GMT+8Flink's Greatest and Latest at AlibabaChinese SessionYuan Mei
14:10 GMT+8Practice of Batch-Streaming Unification in Netease MusicChinese SessionLei Wang
14:50 GMT+8The Application of Spark Structured Streaming in the near real-time data lake scenariosChinese SessionZhiweiPeng
15:30 GMT+8Meituan's practice of building the real-time data warehouse platformChinese SessionChuxi Tang
16:10 GMT+8Evolution and typical scenes of Flink-based real time computing platform in Qihoo 360Chinese SessionFan Xinpu