Apache Flink 1.9 Feature Overview – Beijing Meetup (June 29)
On June 29, the Apache Flink Beijing Meetup presented a comprehensive analysis of Flink 1.9’s major architectural changes, new Table API & SQL capabilities, runtime and core enhancements, and future roadmap, with slides and resources made available for download.
On June 29, the Apache Flink Meetup in Beijing concluded successfully, highlighting that Flink 1.9 is the most significant release since Flink 1.0, featuring extensive refactoring and numerous new capabilities.
The session, titled “Apache Flink 1.9 Feature Overview,” was delivered by teachers Luni and Daizili, covering the architectural changes in Flink 1.9.0, the new Table API & SQL features, runtime and core improvements, and the surrounding ecosystem. The speakers also discussed future plans for upcoming versions, focusing on SQL, runtime, and ecosystem extensions.
Several related slide decks were shared, including:
Apache Flink 1.9 Feature Overview
Building a Machine‑Learning Ecosystem on Flink Table API
Big Data Platform on Flink on Kubernetes
High‑Performance Machine‑Learning Algorithm Library based on Apache Flink
Apache Flink Applications and Practices at Kuaishou
Compatibility of Apache Flink‑1.9 with Hive
The slides can be downloaded from the Baidu Cloud link https://pan.baidu.com/s/1FPhI91TqxQA1UUvmXpNQ5Q with password s7mo .
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Big Data Technology & Architecture
Wang Zhiwu, a big data expert, dedicated to sharing big data technology.
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