About PPT download link is here!
GitHub address
https://github.com/apache/flink
Welcome everyone to give Flink likes and send stars~
On May 22, the Apache Flink Meetup Beijing Station ended successfully! This Meetup can be said to be the most grand Meetup in the near future.
Not only 4 technical experts brought in-depth interpretation of the new features of Flink 1.13. Such as Window TVF, DataStream & Table API interaction, etc.;
There are also 4 senior industry technical experts from Bytedance, Kuaishou, iQiyi and Xiaohongshu to 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.
The students who participated in this Meetup can be said to have gained a lot. Not only did they meet a lot of small developers from all walks of life, but also have the opportunity to meet face-to-face with senior industry leaders!
Issue review:
Highlights of the event:
- In-depth interpretation of the new features of Flink version 1.13.
- ByteDance is based on Flink's landing practice in the recommended feature system.
- Kuaishou builds a scenario-based practice of real-time data warehouse based on Flink.
- Xiaohongshu is based on the application of Flink in recommended scenarios.
- IQiyi is based on Flink's practice in the advertising business.
▼ Wonderful photos on site▼
On May 22, guests of Apache Flink Meetup Beijing Station shared PPT download and live review link as follows:
【PPT Download】
First half-Flink 1.13 version interpretation:
https://files.alicdn.com/tpsservice/e45229831c1700bfc89dee88752ed24c.zip
The second half-mutual entertainment industry practice sharing:
https://files.alicdn.com/tpsservice/73302d3f081d44a68d90a8f455bb5aab.zip
[Live Review]
https://developer.aliyun.com/live/246712
▼ Flink more dry goods recommendation ▼
collection + download! Flink community 2021 latest and most comprehensive learning channel summary
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