Apache Flink Meetup, the new version 1.13 is released x A great feast for developers who share the practice and sharing of mutual entertainment scenes!

Introduction to depth interpretation of the new features of Flink version 1.13 + typical practical application of Flink in the mutual entertainment industry.

For the majority of Flink developers,
What is the most anticipated content?
What information is most useful?

The most anticipated content is naturally the release of the new version of Flink 1.13 and the launch of new features! The most useful information is naturally the case sharing of theory combined with business practice! What's more exciting! What kind of sparks can be produced by combining the two?

Apache Flink community version 1.13 released Meetup is here!
May 22 | Beijing |
1.13 new version + mutual entertainment scene practice sharing, developer feast not to be missed!

The Meetup is divided into two sessions, with guests from Alibaba, ByteDance, Kuaishou, iQiyi and Xiaohongshu.

In the first half, 4 technical experts will bring an in-depth interpretation of the new features of Flink version 1.13. For example, Winddow TVF, DataStream & Table API interaction, etc.;

In the second half, 4 senior industry technical experts will share the practical application of Flink in the mutual entertainment industry. Comprehensive analysis of typical problems faced by the industry, including accurate recommendation, real-time data warehouse, data analysis, etc.

【Activity Highlights】

• a lot of practical dry goods . On the one hand, get the new features and functions of version 1.13 as soon as possible; on the other hand, you can also learn how to explore the practical application of Flink in mutual entertainment scenarios, including accurate recommendation, real-time data warehouse, etc. From theory to actual combat;
• activities are diversified in , offline and online are simultaneously opened, in the same city, you can participate in offline Meetup face-to-face communication, and you can also watch the live broadcast online in different places. Don’t miss the exciting content;
• Rich peripherals waiting for you to get , sign up for a chance to get a lot of beautiful peripherals customized by the Flink community!

▼ Register now▼

https://1712399719478.huodongxing.com/event/1594531547711

Guests and topic introduction

Wang Feng｜Alibaba Researcher

Producer profile:

Feng Wang, Alibaba Cloud researcher, nicknamed "Mo Wen", head of the real-time computing and open platform department of Alibaba Cloud Computing Platform Division, currently leading the team based on Flink, Hadoop and Kubernetes open source technology system to build a big data real-time computing platform, not only services In all real-time data services of Alibaba Group (Taobao, Tmall, Juhuasuan, AutoNavi, Youku, Fliggy, Cainiao, etc.), it also provides the world's leading real-time computing products and services for the majority of small and medium-sized enterprises through Alibaba Cloud.

Morning session-in-depth interpretation of the new version of Flink 1.13

"In-depth interpretation of Flink SQL 1.13"

Xu Bangjiang｜Apache Flink Contributor, Alibaba Senior Development Engineer

lecture introduction:
In the just released version 1.13, Flink SQL brings many new features and functional enhancements. Here we focus on Winddow TVF, time zone support, DataStream & Table API interaction, hive compatibility improvement, and SQL Client improvements in five aspects, and in-depth interpretation These core functions.

guest profile:

Xu Bangjiang (Xue Jin), senior development engineer at Alibaba, focuses on Flink SQL engine development.

《Flink 1.13: Towards Scalable Cloud Native Application》

Song Xintong｜Apache Flink Committer, Alibaba Technical Expert

Introduction to the
Flink 1.13 adds a new passive resource management mode and an adaptive scheduling mode. It has flexible scalability. Combined with cloud-native auto-scaling technology, it can better leverage the advantages of elastic computing resources in the cloud environment. Flink fully embraces the cloud. Another important milestone in the native technology ecology. This topic will introduce the new features of Flink 1.13, such as passive resource management, adaptive scheduling, and custom container templates. At the same time, it will share Flink's development history and future plans for embracing the cloud native technology ecology.

Guest profile:
Song Xintong (Five Zang), Apache Flink Committer, Alibaba technical expert, PhD from Peking University. Currently working in Alibaba's real-time computing team, mainly responsible for R&D related to Flink resource management and deployment.

"Flink runtime and DataStream API optimization for stream batch integration"

Gao Yun | Apache Flink Contributor, Alibaba technical expert

Introduction to the speech:

In 1.13, for the goal of stream batch integration, Flink optimized the performance of large-scale job scheduling and network Shuffle in batch execution mode, thereby further improving the execution performance of stream jobs and batch jobs; at the same time, in terms of DataStream API, Flink also The exit semantics of limited-stream jobs is being improved to further improve the consistency of semantics and results in different execution modes.

guest profile:

Gao Yun (Yun Qian), from the real-time computing team of Alibaba Computing Platform Division, Flink Contributor, is mainly engaged in the design and development of Flink DataStream API and operation.

"State backend Flink-1.13 Optimization and Production Practice Sharing"

Tang Yun｜Apache Flink Committer, Alibaba Senior Development Engineer

Lecture Introduction:
In the newly released Flink-1.13, the state backend module brings related optimizations and new features in terms of memory management and control, access delay survey, etc. We will share relevant information in combination with production practices.

guest profile:
Tang Yun, Huaming Chagan, has been engaged in the development of Flink kernel state backend/checkpoint module since joining Alibaba. At the same time, he also involved in Flink metrics component development and Alibaba Cloud open source big data promotion. Currently, state backend and other related modules are maintained in the Apache Flink community.

Afternoon session-mutual entertainment industry application practice

"Flink's Practice in Xiaohongshu"

Luan Yanming | Xiaohongshu Data Flow Team Engineer

Introduction speech:
Flink's application in Xiaohongshu recommended scenarios, and the evolution of the real-time platform in the past six months, including batch processing, multi-cloud support, etc.

guest profile:
Luan Yanming, an engineer in the data flow team of Xiaohongshu, started to iterate the real-time data platform from 0 after joining Xiaohongshu.

"Flink's Landing Practice in the ByteDance Recommended Feature System"

Wenfei｜The person in

Introduction speech:

From Toutiao to Douyin, recommendation is the core business scenario of Bytedance, and the feature is the basic fuel of the recommendation system. Building an efficient real-time feature system is crucial to the business iteration of the recommendation system. This sharing mainly introduces the basic practice and future planning of the real-time feature scenario recommended by byte beating based on Flink SQL and Flink State.

guest profile:
Guo Wenfei, the person in charge of the basic services of the Bytedance Recommendation System. Byte was added in early 2015, mainly responsible for recommending the basic service directions of the system, such as deduplication, counting, features, etc.

"Scene Practice of Kuaishou Building Real-time Data Warehouse Based on Flink"

Li Tianshuo｜Technical leader of the fast real-time computing data team

Introduction to
As an important application output scenario of Kuaishou data, real-time computing plays an important role in large-scale events such as Spring Festival Gala, operation system construction, and feature construction. It provides large data screens, various real-time data billboards, and real-time data push. It supports various application scenarios such as management decision-making, real-time monitoring, and strategic services. This sharing will introduce some of our practice and thinking in real-time data research and development and real-time data warehouse construction.

guest profile:
Joined Kuaishou in 2019 and worked for Meituan. Currently, he is the technical leader of the Kuaishou real-time computing data team. He is mainly responsible for real-time data warehouse construction, real-time link SLA improvement and quality assurance. He has been responsible for real-time large-scale operation activities for two consecutive years. The construction and guarantee of screens and real-time application products.

"Flink's Practice in iQiyi Advertising Business"

Han Honggen｜Technical Manager of

Introduction speech:
With the rapid development of performance advertising, information flow and other advertising forms, it is vital for platforms and advertisers to better understand how users can achieve refined delivery. In many business scenarios of iQiyi Advertising, including large-screen display, reporting, feature engineering, system monitoring, etc., the requirements for timeliness and data quality of data are getting higher and higher. This sharing will focus on specific businesses and introduce the development history of real-time computing, technology selection, problems encountered in actual production and solutions.

guest profile:
Joined iQiyi in 2016 and has more than 9 years of big data processing experience, and rich practical experience in big data processing and real-time computing. At present, he is mainly responsible for the real-time calculation, task scheduling management system, data access and other work of iQiyi's advertising business.

Event agenda and registration

■ Event agenda

■ Event details

Time: 9:30-18:00, May 22
Location: Fangheng Fashion Center, Haidian District, Beijing (ByteDance)
Live viewing: https://developer.aliyun.com/live/246712

🎁 Exclusive benefits for Apache Flink community contributors! 🎁

On May 22, Apache Flink Meetup · Beijing station community contributor exclusive benefits! Any community-certified Apache Flink Contributor, Committer, PMC can receive one of the latest customized limited-edition mugs from the Flink community on site for free.

Limited quantity, first come first served!
Looking forward to more friends participating in the community contribution!

There are more gifts at the event site
Flink community customized T-shirt (specifically subject to the actual product)

⬇️

GitHub address
https://github.com/apache/flink
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