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| <strong>Apache Flink<sup>®</sup> — Stateful Computations over Data Streams</strong> |
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| |
| <dl> |
| |
| <dt> <a href="/2020/07/28/flink-sql-demo-building-e2e-streaming-application.html">Flink SQL Demo: Building an End-to-End Streaming Application</a></dt> |
| <dd>Apache Flink 1.11 has released many exciting new features, including many developments in Flink SQL which is evolving at a fast pace. This article takes a closer look at how to quickly build streaming applications with Flink SQL from a practical point of view.</dd> |
| |
| <dt> <a href="/2020/07/23/catalogs.html">Sharing is caring - Catalogs in Flink SQL</a></dt> |
| <dd><p>With an ever-growing number of people working with data, it’s a common practice for companies to build self-service platforms with the goal of democratizing their access across different teams and — especially — to enable users from any background to be independent in their data needs. In such environments, metadata management becomes a crucial aspect. Without it, users often work blindly, spending too much time searching for datasets and their location, figuring out data formats and similar cumbersome tasks.</p> |
| |
| </dd> |
| |
| <dt> <a href="/news/2020/07/21/release-1.11.1.html">Apache Flink 1.11.1 Released</a></dt> |
| <dd><p>The Apache Flink community released the first bugfix version of the Apache Flink 1.11 series.</p> |
| |
| </dd> |
| |
| <dt> <a href="/news/2020/07/14/application-mode.html">Application Deployment in Flink: Current State and the new Application Mode</a></dt> |
| <dd><p>With the rise of stream processing and real-time analytics as a critical tool for modern |
| businesses, an increasing number of organizations build platforms with Apache Flink at their |
| core and offer it internally as a service. Many talks with related topics from companies |
| like <a href="https://www.youtube.com/watch?v=VX3S9POGAdU">Uber</a>, <a href="https://www.youtube.com/watch?v=VX3S9POGAdU">Netflix</a> |
| and <a href="https://www.youtube.com/watch?v=cH9UdK0yYjc">Alibaba</a> in the latest editions of Flink Forward further |
| illustrate this trend.</p> |
| |
| </dd> |
| |
| <dt> <a href="/news/2020/07/06/release-1.11.0.html">Apache Flink 1.11.0 Release Announcement</a></dt> |
| <dd>The Apache Flink community is proud to announce the release of Flink 1.11.0! More than 200 contributors worked on over 1.3k issues to bring significant improvements to usability as well as new features to Flink users across the whole API stack. We're particularly excited about unaligned checkpoints to cope with high backpressure scenarios, a new source API that simplifies and unifies the implementation of (custom) sources, and support for Change Data Capture (CDC) and other common use cases in the Table API/SQL. Read on for all major new features and improvements, important changes to be aware of and what to expect moving forward!</dd> |
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