ApacheCon Asia - 流处理 Streaming

流处理

出品人 : 李钰

流式数据处理是当今大数据领域的趋势，很多企业渴望更及时地洞察自己的数据，而曾经的“批处理”思维正迅速被流式处理所取代。越来越多的公司，无论大小，都在重新思考技术架构时把实时性作为第一考量，并开始用强大的开源引擎如Apache Flink,Apache Spark,Apache Kafka,Apache Pulsar,Apache Storm等构建自己的实时计算平台。

在该主题中，您将了解到一线大厂把这些Apache项目应用到其生产环境中的实际经验，以及这些Apache项目生态的最新发展和流计算技术未来的发展方向。

2021-08-07

13:30 GMT+8Flink在阿里巴巴的最新动态中文演讲梅源

14:10 GMT+8批流一体在音乐实践和规划中文演讲汪磊

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

15:30 GMT+8美团实时数仓平台的建设实践中文演讲汤楚熙

16:10 GMT+8Flink在奇虎360的平台建设演进与典型场景中文演讲范新普

STREAMING

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.

2021-08-07

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