Real time data warehouse, 1.10 production practice and AI are all here. The first meeting of Flink community meetup in 2020 can be!

Time:2020-8-1

Long time no see, 2020, you think of meetup heavy return! From February to now, the little squirrel has received a lot of consultation about meetup and some voices from everyone, such as:

<p style=”text-align:center”>“Is 2020 meetup still available? When will it be held?
Whether there is 1.10 production environment practice, I want to start and hesitant
It’s too boring to stay at home in recent holidays. Do you want to have some activities
As a Flink enthusiast, no T-shirt is not professional! When can I get it?”</p>

<p style=”text-align:center”>We have a chance to meet everyone’s wishes! A kind of</p>

On May 16, 2020’s first meetup was launched. As always, this meetup invited four technical experts from kangaroo cloud, Netease cloud music, youzan and AlibabaLive broadcast, so that you do not leave home, there are live watching, there are dry goods learning, there are prizes to take ~

Real time data warehouse, 1.10 production practice and AI are all here. The first meeting of Flink community meetup in 2020 can be!

In this meetup, you will learn about:

  1. How to realize distributed data synchronization based on Flink? What is the principle?
  2. What are the application practices of real-time data warehouse that have been popular for so long in Netease cloud music?
  3. 1.10 experience sharing of Flink SQL in production environment
  4. Uncover Flink’s applications in AI scenarios that you know or don’t know
  5. A variety of rich delivery around the community
  6. Live broadcast of picture in picture mode with high definition

May 16, 14:00-18:00 p.m., Flink community live room will be there! Scan the QR code below or click the link below to register immediately ~

<u> Registration link
https://developer.aliyun.com/…

Real time data warehouse, 1.10 production practice and AI are all here. The first meeting of Flink community meetup in 2020 can be!

Flinkx: a distributed data synchronization tool for kangaroo cloud based on Flink

Xu Chao Flink contributor, senior technical expert of kangaroo cloud

Real time data warehouse, 1.10 production practice and AI are all here. The first meeting of Flink community meetup in 2020 can be!

Guest introduction:

Xu Chao, senior technical expert of kangaroo cloud and Flink contributor, is responsible for kangaroo cloud’s original one-stop data center PAAS – product research and development of datastack from 0 to 1; participated in the application of digital stack products to large-scale government and enterprise, finance, education, new retail and other industries, and was responsible for the technical services of typical customers such as BOE, China Merchants Securities, Ningbo Development and Reform Commission, Zhejiang University, and Piao pay. Currently, it focuses on the peripheral expansion of Flink real-time computing, including kangaroo cloud flinkx and Flink stream SQL Open source projects.

Introduction to the speech:

1、 Why Flink based implementation

  1. Distributed, simple concurrent configuration
  2. Easy to expand
  3. Efficiency

2、 Overall structure (including architecture diagram)
3、 How to control concurrency and limit current (principle and Implementation)
4、 Incremental synchronization, breakpoint continuous transmission (principle and Implementation)
5、 Real time acquisition (principle and Implementation)
6、 Current plug-in support and future development plan

“Netease cloud music real time data warehouse practice”

Wang Lei, Netease data platform development expert

Real time data warehouse, 1.10 production practice and AI are all here. The first meeting of Flink community meetup in 2020 can be!

Guest introduction:

Wang Lei, an expert in the development of Netease data platform, is currently responsible for the construction of cloud music real-time, offline and machine learning platforms.

Introduction to the speech:

With the development of cloud music business, the demand for real-time computing business is more and more high, and the platform is facing more and more challenges. In order to improve the stability of our existing real-time music management and control system, we have reduced the threshold of real-time cloud computing and improved the stability of our existing real-time cloud computing system.

This sharing mainly introduces our overall practice plan, some problems we are facing, and some future plans. The overall outline is as follows:

  1. Introduction to cloud music overall data platform architecture
  2. Cloud music Flink real time data warehouse and metadata center integration
  3. Current problems and challenges
  4. Practice and planning of batch flow integration

Practical application of Apache Flink SQL 1.10 in youzan

Shen Lei, R & D Engineer of youzan data

Real time data warehouse, 1.10 production practice and AI are all here. The first meeting of Flink community meetup in 2020 can be!

Guest introduction:

Shen Lei, whose English name is lakeshen, is currently in charge of the development and maintenance of the real-time computing platform and Flink computing engine in youzan. I actively participate in the Flink open source community and like to share Flink technology with you. I have written a lot of Flink related technical articles to help you learn Flink together.

Introduction to the speech:

This speech mainly explains the practical application of Flink SQL version 1.10 and why Flink SQL is chosen. The main contents include:

  1. Real time platform Flink SQL development practice
  2. Practice and optimization of Flink connector
  3. Flink SQL has great business support

Application of Apache Flink in AI process

Tu Yiwen (reply) | Alibaba Development Engineer

Real time data warehouse, 1.10 production practice and AI are all here. The first meeting of Flink community meetup in 2020 can be!

Guest introduction:

Tu Yiwen, Huaming Yingyan, joined Alibaba in July 2019 as a development engineer, focusing on the development of Flink AI ecological field yiwen.png 。

Introduction to the speech:

In today’s AI scenarios, Flink’s unique advantage in streaming mode brings more possibilities for AI development. In order to better support AI development in different scenarios, Flink community and Flink’s ecological projects are also making continuous efforts. This paper will introduce the application of Flink in AI scenarios, including:

  1. Background on Flink embracing AI
  2. What is AI flow
  3. Meet Flink AI flow
  4. An ML scenario

May 16 (next Saturday) 14:00-16:00 PM, we are looking forward to your arrival in the live room! If you have other topics of interest, suggestions for the community, and favorite surrounding areas, please contact the little squirrel (wechat: verica 2019), we will write it down in a small notebook and arrange it for you next time!

BTW, don’t forget to click the link below to make an appointment

https://developer.aliyun.com/…

Real time data warehouse, 1.10 production practice and AI are all here. The first meeting of Flink community meetup in 2020 can be!