Spark & Flink Meetup 6 @Hangzhou

杭州第6次 Spark&Flink meetup
时间：2018.5.12 12:30PM
地点：华为杭研所1号楼1楼报告厅（可容纳200人）
主办方：华为杭研所

议题：

1. 13:00 ~ 13:10 开场
2. 13:10 ~ 13:50 冯叶磊 - 华为云 《Time GeoSpatial on Flink SQL》
3. 13:50 ~ 14:30 范文臣 - Spark PMC 《deep dive into structural streaming》
4. 14:30 ~ 15:00 茶歇
5. 15:00 ~ 15:40 梁永峰 - 阿里《基于Flink的流计算平台》
6. 15:40 ~ 16:20 祝威廉 - 丁香园《MLSQL，一种基于Spark平台上的SQL方言》
7. 16:20 ~ 17:00 杨旋, 陶然 - 滴滴《实时BI监控架构与实践》
8. 17:00 ~ 17:40 Fabian Hueske- Flink PMC 《Why and how to leverage the power and simplicity of SQL on Apache Flink》
9. 17:40 ~ 自由交流

议题分享，请把主题、内容介绍、个人介绍 邮件到：shijinkui@huawei.com

关键词：Streaming, Flink, Spark, ML, DL, Graph, IoT, 实时可视化。即流计算和ML/DL/Graph/可视化方向的结合，或者行业最佳实践，如IoT、实时风控等

这次有些赞助，华为杭研所和华为云，据说奖品有Mate 10，各种技术书，华为云现场撒优惠券...同时阿里也会参与

The Sixth of Spark & Flink meetup at Hangzhou
Date：2018.5.12 12:30PM
Location：Huawei Hangzhou Office 1# lecture hall(capacity 200 seats)
Sponsor：Huawei Hangzhou Office

Topics：

1. 13:00 ~ 13:10 Keynote
2. 13:10 ~ 13:50 Yelei Feng - Huawei Cloud 《Time GeoSpatial on Flink SQL》
3. 13:50 ~ 14:30 Wenchen Fan - Spark PMC 《deep dive into structural streaming》
4. 14:30 ~ 15:00 Tea Break
5. 15:00 ~ 15:40 YongFeng Liang - Alibaba《Stream Compute platform based on Flink》
6. 15:40 ~ 16:20 Weilian Zhu - DingXiangYuan《MLSQL，A dialect base on Spark》
7. 16:20 ~ 17:00 Xuan Yang, Rang Tao - DiDi《Realtime BI Monitor architecture and practice》
8. 17:00 ~ 17:40 Fabian Hueske- Flink PMC 《Why and how to leverage the power and simplicity of SQL on Apache Flink》
9. 17:40 ~ Communicate

If you want to share topic, please send me the subject, summary and bio to shijinkui@huawei.com

keywords：Streaming, Flink, Spark, ML, DL, Graph, IoT.

The sponsor will provide some awards to speaker and attendees, there maybe some Huawei Mate 10 cell phone..

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Topic in detail:

Title: 《Why and how to leverage the power and simplicity of SQL on Apache Flink》
Speaker: Fabian Hueske
Bio:
Fabian Hueske is a committer and PMC member of the Apache Flink project and has been contributing to Flink since its earliest days. He has a PhD in computer science from TU Berlin and is a co-founder of data Artisans, a Berlin-based start-up devoted to foster Flink. Fabian speaks at meetups and conferences and frequently blogs about the internals and use cases of Flink. He organized and held several Flink trainings and spends currently a lot of time writing a book on “Stream Processing with Apache Flink”.

Abstract:
SQL is the lingua franca of data processing and everybody working with data knows SQL. Apache Flink provides SQL support for querying and processing batch and streaming data. Flink’s SQL support powers large-scale production systems at Alibaba, Huawei, and Uber. Based on Flink SQL, these companies have built systems for their internal users as well as publicly offered services for paying customers. In my talk, I will discuss why you should and how you can (not being Alibaba or Uber) leverage the simplicity and power of SQL on Flink.

I will start exploring the use cases that Flink SQL was designed for and present real-world problems that it can solve. In particular, I'll explain why unified batch and stream processing is important and what it means to run SQL queries on streams of data. After discussing why and when you should use Flink SQL, I will show how to leverage its full potential. The Flink community is developing a service that integrates a query interface, (external) table catalogs, and result serving functionality for static, appending, and updating result sets. I will discuss the design and features of this query service and how it will enable exploratory batch and streaming queries, ETL pipelines, and live updating query results that serve applications, such as real-time dashboards. The talk concludes with a brief demo of a client running queries against the service.