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。
2021-08-08
13:30 GMT+8使用Apache Druid进行高级实时和批量分析英文演讲Tijo Thomas
14:10 GMT+8结构化的数据流英文演讲Shivji Kumar Jha
14:50 GMT+8FLaNK技术栈与Flink的流式处理使用案例英文演讲Timothy Spann
15:30 GMT+8使用 Pulsar Functions处理实时机器学习英文演讲David Kjerrumgaard
16:10 GMT+8使用Apache Kafka、Druid和Superset在数据流上制作交互式实时仪表盘英文演讲Nishant Bangarwa
16:50 GMT+8Apache Druid实时摄取的挑战和最佳实践英文演讲Tijo Thomas
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.
2021-08-08
13:30 GMT+8Advanced real-time and batch Analytics using Apache DruidEnglish SessionTijo Thomas
14:10 GMT+8Structured Data StreamingEnglish SessionShivji Kumar Jha
14:50 GMT+8FLaNK Stack with Flink For Streaming Use CasesEnglish SessionTimothy Spann
15:30 GMT+8REAL-TIME MACHINE LEARNING WITH PULSAR FUNCTIONSEnglish SessionDavid Kjerrumgaard
16:10 GMT+8Interactive Realtime Dashboards on Data Streams using Apache Kafka, Druid and SupersetEnglish SessionNishant Bangarwa
16:50 GMT+8Apache Druid real-time ingestion challenges and best practicesEnglish SessionTijo Thomas