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21 changes: 12 additions & 9 deletions content/2014/08/26/apache-flink-0.6-available/index.html
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="description" content="We are happy to announce the availability of Flink 0.6. This is the first release of the system inside the Apache Incubator and under the name Flink. Releases up to 0.5 were under the name Stratosphere, the academic and open source project that Flink originates from.
What is Flink? # Apache Flink is a general-purpose data processing engine for clusters. It runs on YARN clusters on top of data stored in Hadoop, as well as stand-alone.">
<meta name="theme-color" content="#FFFFFF"><meta property="og:title" content="Apache Flink 0.6 available" />
<meta property="og:description" content="We are happy to announce the availability of Flink 0.6. This is the first release of the system inside the Apache Incubator and under the name Flink. Releases up to 0.5 were under the name Stratosphere, the academic and open source project that Flink originates from.
What is Flink? # Apache Flink is a general-purpose data processing engine for clusters. It runs on YARN clusters on top of data stored in Hadoop, as well as stand-alone." />
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<meta name="theme-color" content="#FFFFFF"><meta property="og:url" content="https://flink.apache.org/2014/08/26/apache-flink-0.6-available/">
<meta property="og:site_name" content="Apache Flink">
<meta property="og:title" content="Apache Flink 0.6 available">
<meta property="og:description" content="We are happy to announce the availability of Flink 0.6. This is the first release of the system inside the Apache Incubator and under the name Flink. Releases up to 0.5 were under the name Stratosphere, the academic and open source project that Flink originates from.
What is Flink? # Apache Flink is a general-purpose data processing engine for clusters. It runs on YARN clusters on top of data stored in Hadoop, as well as stand-alone.">
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21 changes: 12 additions & 9 deletions content/2014/09/26/apache-flink-0.6.1-available/index.html
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<meta name="description" content="We are happy to announce the availability of Flink 0.6.1.
0.6.1 is a maintenance release, which includes minor fixes across several parts of the system. We suggest all users of Flink to work with this newest version.
Download the release today.">
<meta name="theme-color" content="#FFFFFF"><meta property="og:title" content="Apache Flink 0.6.1 available" />
<meta property="og:description" content="We are happy to announce the availability of Flink 0.6.1.
<meta name="theme-color" content="#FFFFFF"><meta property="og:url" content="https://flink.apache.org/2014/09/26/apache-flink-0.6.1-available/">
<meta property="og:site_name" content="Apache Flink">
<meta property="og:title" content="Apache Flink 0.6.1 available">
<meta property="og:description" content="We are happy to announce the availability of Flink 0.6.1.
0.6.1 is a maintenance release, which includes minor fixes across several parts of the system. We suggest all users of Flink to work with this newest version.
Download the release today." />
<meta property="og:type" content="article" />
<meta property="og:url" content="https://flink.apache.org/2014/09/26/apache-flink-0.6.1-available/" /><meta property="article:section" content="posts" />
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Download the release today.">
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<title>Apache Flink 0.6.1 available | Apache Flink</title>
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19 changes: 11 additions & 8 deletions content/2014/10/03/upcoming-events/index.html
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<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="description" content="We are happy to announce several upcoming Flink events both in Europe and the US. Starting with a Flink hackathon in Stockholm (Oct 8-9) and a talk about Flink at the Stockholm Hadoop User Group (Oct 8). This is followed by the very first Flink Meetup in Berlin (Oct 15). In the US, there will be two Flink Meetup talks: the first one at the Pasadena Big Data User Group (Oct 29) and the second one at Silicon Valley Hands On Programming Events (Nov 4).">
<meta name="theme-color" content="#FFFFFF"><meta property="og:title" content="Upcoming Events" />
<meta property="og:description" content="We are happy to announce several upcoming Flink events both in Europe and the US. Starting with a Flink hackathon in Stockholm (Oct 8-9) and a talk about Flink at the Stockholm Hadoop User Group (Oct 8). This is followed by the very first Flink Meetup in Berlin (Oct 15). In the US, there will be two Flink Meetup talks: the first one at the Pasadena Big Data User Group (Oct 29) and the second one at Silicon Valley Hands On Programming Events (Nov 4)." />
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<meta property="og:url" content="https://flink.apache.org/2014/10/03/upcoming-events/" /><meta property="article:section" content="posts" />
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<meta name="theme-color" content="#FFFFFF"><meta property="og:url" content="https://flink.apache.org/2014/10/03/upcoming-events/">
<meta property="og:site_name" content="Apache Flink">
<meta property="og:title" content="Upcoming Events">
<meta property="og:description" content="We are happy to announce several upcoming Flink events both in Europe and the US. Starting with a Flink hackathon in Stockholm (Oct 8-9) and a talk about Flink at the Stockholm Hadoop User Group (Oct 8). This is followed by the very first Flink Meetup in Berlin (Oct 15). In the US, there will be two Flink Meetup talks: the first one at the Pasadena Big Data User Group (Oct 29) and the second one at Silicon Valley Hands On Programming Events (Nov 4).">
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21 changes: 12 additions & 9 deletions content/2014/11/04/apache-flink-0.7.0-available/index.html
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Download Flink 0.7.0 here
See the release changelog here
Overview of major new features # Flink Streaming: The gem of the 0.">
<meta name="theme-color" content="#FFFFFF"><meta property="og:title" content="Apache Flink 0.7.0 available" />
<meta property="og:description" content="We are pleased to announce the availability of Flink 0.7.0. This release includes new user-facing features as well as performance and bug fixes, brings the Scala and Java APIs in sync, and introduces Flink Streaming. A total of 34 people have contributed to this release, a big thanks to all of them!
<meta name="theme-color" content="#FFFFFF"><meta property="og:url" content="https://flink.apache.org/2014/11/04/apache-flink-0.7.0-available/">
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<meta property="og:title" content="Apache Flink 0.7.0 available">
<meta property="og:description" content="We are pleased to announce the availability of Flink 0.7.0. This release includes new user-facing features as well as performance and bug fixes, brings the Scala and Java APIs in sync, and introduces Flink Streaming. A total of 34 people have contributed to this release, a big thanks to all of them!
Download Flink 0.7.0 here
See the release changelog here
Overview of major new features # Flink Streaming: The gem of the 0." />
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<meta property="og:url" content="https://flink.apache.org/2014/11/04/apache-flink-0.7.0-available/" /><meta property="article:section" content="posts" />
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Overview of major new features # Flink Streaming: The gem of the 0.">
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19 changes: 11 additions & 8 deletions content/2014/11/18/hadoop-compatibility-in-flink/index.html
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<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="description" content="Apache Hadoop is an industry standard for scalable analytical data processing. Many data analysis applications have been implemented as Hadoop MapReduce jobs and run in clusters around the world. Apache Flink can be an alternative to MapReduce and improves it in many dimensions. Among other features, Flink provides much better performance and offers APIs in Java and Scala, which are very easy to use. Similar to Hadoop, Flink’s APIs provide interfaces for Mapper and Reducer functions, as well as Input- and OutputFormats along with many more operators.">
<meta name="theme-color" content="#FFFFFF"><meta property="og:title" content="Hadoop Compatibility in Flink" />
<meta property="og:description" content="Apache Hadoop is an industry standard for scalable analytical data processing. Many data analysis applications have been implemented as Hadoop MapReduce jobs and run in clusters around the world. Apache Flink can be an alternative to MapReduce and improves it in many dimensions. Among other features, Flink provides much better performance and offers APIs in Java and Scala, which are very easy to use. Similar to Hadoop, Flink’s APIs provide interfaces for Mapper and Reducer functions, as well as Input- and OutputFormats along with many more operators." />
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<meta property="og:description" content="Apache Hadoop is an industry standard for scalable analytical data processing. Many data analysis applications have been implemented as Hadoop MapReduce jobs and run in clusters around the world. Apache Flink can be an alternative to MapReduce and improves it in many dimensions. Among other features, Flink provides much better performance and offers APIs in Java and Scala, which are very easy to use. Similar to Hadoop, Flink’s APIs provide interfaces for Mapper and Reducer functions, as well as Input- and OutputFormats along with many more operators.">
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21 changes: 12 additions & 9 deletions content/2015/01/06/december-2014-in-the-flink-community/index.html
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<meta name="description" content="This is the first blog post of a “newsletter” like series where we give a summary of the monthly activity in the Flink community. As the Flink project grows, this can serve as a &ldquo;tl;dr&rdquo; for people that are not following the Flink dev and user mailing lists, or those that are simply overwhelmed by the traffic.
Flink graduation # The biggest news is that the Apache board approved Flink as a top-level Apache project!">
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Flink graduation # The biggest news is that the Apache board approved Flink as a top-level Apache project!" />
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Flink graduation # The biggest news is that the Apache board approved Flink as a top-level Apache project!">
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