Time: 2019.06.30 (Sunday) 13: 00-18: 00
Activity Address :( Beijing Chaoyang) Jiuxianqiao Road Hengtong International Innovation Park -C8-G MeePark (798 stores)
Audience gains:
- To know whether their own real-time computing scene?
- Which pits the course have?
- What most cost-effective strategy is to use?
Guest Information
Speech title: "Flink application in real-time face recognition in the business"
Chen Xinyu
grid Ling, director of Big Data deep pupil
guests Description : Chen Xinyu, graduated from the Chinese Academy of Sciences, cell deep spiritual pupil Smart Business Solutions Senior Technical Manager, presided over the research and development based on real-time analysis and clustering scheme and face recognition applications.
Description : flink flow calculation engine as the next generation of its highly efficient, low latency features to get a lot of attention and application. Hope grid deep pupil since the beginning of 2017 will be applied in production among flink, to provide recognition based on real-time data analysis services and integrated solutions for different industries, this will share flink in Klaeng face deep Tongren recognition technology selection scenario of real-time business reasons, the specific application, some of the problems encountered and improvements.
Speech title: "real-time computing scene of the solution"
High Yang
Alibaba senior product expert
guests Description : worked at IBM China Development Center, IBM Asia Pacific region responsible for database-related products and technical services. 2016 joined Alibaba Group is currently in the calculation of real-time computing platform division, responsible for real-time Ali cloud public cloud and private cloud customer technical service and big data computing products.
Description : Real-time computing products business architecture and technical architecture introduced, compared to other commercial stream computing products and open source software, real-time calculation of product advantages, a typical product application scenarios divide in the digital media, online education, new retail and urban brain the introduction and application scenarios corresponding solutions share.
Speech title: "How to build big data platform based on Flink on Kubernetes of"
Renchun De
Alibaba senior technical expert
guests Description: graduating in 2006 joined Alibaba Group, has long been engaged Hadoop big data related to computing platform research and development, currently serves as senior technical experts in computing platforms division, responsible for YARN Flink and resource scheduling development. YARN by Flink and the depth of docking, to provide real-time calculation of large-scale, efficient and stable operating platform.
Description : How big data in the field, budding Kubernetes PK improving YARN based scheduling platform? The new platform, a new generation of large batches of data stream processing engine integrated with Kubernetes to form Flink What are the advantages? How to build into a set of easy to operation and maintenance, high availability, high utilization of the platform?
Speech title: "SQL development of real-time calculation of common problems and solutions."
Zhao Kaixing
Alibaba technical expert
guests Description : Master of Peking University, 2018 joined Alibaba computing platform division, to lead a team responsible for real-time Ali cloud computing technology to support the work product of Apache Flink and Ali cloud computing technology in real-time characteristics of the product, the application scenario, the application process may encounter problems has a wealth of experience and understanding.
Introduction : Ali cloud real-time calculation is based on streaming computing products Apache Flink development, its main use of streaming Flink SQL development work services, Flink SQL standard SQL semantics, but due to the addition of the concept of stream computing, many users there are some problems and difficulties in understanding and using Flink SQL procedure, this share will sort you out real-time calculation SQL development process, common problems and solutions.
Meeting Process
13: 00-14: 00: check-in
14: 00-14: 40: "Flink application in real-time face recognition in the business," Chen Xinyu
14: 40-15: 20: Yang High "real-time computing scene of the solution"
15: 20-15: 50: intermission
15: 50-16: 30: Renchun De "Flink on how to build a big data platform based on Kubernetes of"
16: 30-17: 10: Zhao Kaixing "real-time computing SQL development common problems and solutions."
17: 10-17: 30: group photo
17: 30-18: 00: exchange after the meeting
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