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<strong>Apache Flink<sup>®</sup> - 数据流上的有状态计算</strong>
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<dt> <a href="/news/2020/07/30/demo-fraud-detection-3.html">Advanced Flink Application Patterns Vol.3: Custom Window Processing</a></dt>
<dd>In this series of blog posts you will learn about powerful Flink patterns for building streaming applications.</dd>
<dt> <a href="/2020/07/28/pyflink-pandas-udf-support-flink.html">PyFlink: The integration of Pandas into PyFlink</a></dt>
<dd>The Apache Flink community put some great effort into integrating Pandas with PyFlink in the latest Flink version 1.11. Some of the added features include support for Pandas UDF and the conversion between Pandas DataFrame and Table. In this article, we will introduce how these functionalities work and how to use them with a step-by-step example.</dd>
<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="/news/2020/07/27/community-update.html">Flink Community Update - July'20</a></dt>
<dd>As July draws to an end, we look back at a monthful of activity in the Flink community, including two releases (!) and some work around improving the first-time contribution experience in the project. Also, events are starting to pick up again, so we've put together a list of some great events you can (virtually) attend in August!</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>
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