I have some good news for you! From now on, Apache Flink community wechat official account Ververica has officially changed its name to Flink Chinese Community and is maintained by members of Apache Flink PMC. It is the only Official Wechat official account of Flink community in China. For details, please refer to “Statement” in the next article.
In the past year, Flink Chinese community has published 144 articles to help people better understand and use Flink by providing Flink technology theory analysis, hands-on practice, best practices in multiple scenarios and the latest information of the community.
At the same time, we also found that in addition to articles, live tutorials and Meetup, the community still lacks a clear map to let people know the complete technical system and learning path of Flink. As a result, the community compiled a knowledge map, written by Apache Flink Committer and reviewed by four PMC members, that broke down Flink’s nine technical modules in detail, highlighting key content and supporting comprehensive learning materials. Look at this map, then you really understand Flink!
An overview of Flink knowledge Graph
How do I get it?
Follow the wechat official account of “Flink Chinese Community” and reply to the keyword “Tupu” in the background to download the PDF version, which contains a large number of supplementary links. You can view relevant materials with one click!
The most practical knowledge graph
1. Comprehensive content. The technical content involved in Flink is divided into 9 sections, each part is decomposed in detail, and learning paths and learning materials for in-depth understanding are provided.
- Streaming Processing Concepts(common concepts for stream processing)
- Architecture
- State Management
- DataStream
- Libraries
- Table API & SQL
- Deployment and Operations
- Debugging and Monitoring
- Ecosystem
- Use Cases
2. Clear hierarchy, mark the basic introductory knowledge in each part of the technical content, highlight the key, to help you find a clear learning path.
3. Convenient and practical, each knowledge point with supplementary links and the best learning materials, can be timely in-depth exploration, conducive to understanding and digestion.
4. Strong expansion of reading materials configuration, integration of the community’s annual output of technical articles, a series of live tutorials, offline Meetup and the essence of Flink Forward Asia, a picture in hand, learn Flink no worry!
Detailed explanation of each section
- Streaming Processing Concepts(common concepts for stream processing)
- Architecture
- State Management
- DataStream
- Libraries
- Table API & SQL
- Deployment and Operations
- Debugging and Monitoring
- Ecosystem
- Use Cases
Read more: https://yq.aliyun.com/articles/744741?utm_content=g_1000104494
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