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From Kostas Tzoumas <ktzou...@apache.org>
Subject Re: Release announcement draft
Date Tue, 26 Aug 2014 13:58:58 GMT
Oops, thank you, sorry for the typos.


On Tue, Aug 26, 2014 at 3:57 PM, Robert Metzger <rmetzger@apache.org> wrote:

> Well written, thank you!
> I think you have a typo in Mingliangs name: "Mingliang Qi", Jonathan's last
> name is "Hasenburg"
>
>
> On Tue, Aug 26, 2014 at 3:42 PM, Kostas Tzoumas <ktzoumas@apache.org>
> wrote:
>
> > Hey folks,
> >
> > The Flink 0.6 release is out, and it would be great to announce it at the
> > Flink blog and perhaps at announcements@apache among other places. I
> > drafted a small text that also explains a bit what is Flink since this is
> > the first Apache release.
> >
> > Would be great to get some comments on the text! Also, if you contributed
> > in the release and your name is missing, please respond.
> >
> > Best,
> > Kostas
> >
> > 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, from
> > the academic and open source project that Flink originates from.
> >
> > What is Flink?
> >
> > Apache Flink is a new general-purpose computation engine that can run
> > on YARN clusters on top of data stored in Hadoop. Flink currently has
> > programming APIs in Java and Scala. Jobs are executed via Flink's own
> > runtime engine. Flink features:
> >
> > - Robust in-memory and out-of-core processing: once read, data stays
> >   in memory as much as possible, and is gracefully de-staged to disk in
> >   the presence of memory pressure from limited memory or other
> >   applications. The runtime is designed to perform very well both in
> >   setups with abundant memory and in setups where memory is scarce.
> >
> > - Object-based APIs: when programming, you do not have to pack your
> >   data into key-value pairs or some other framework-specific data
> >   model. Rather, you can use arbitrary Java and Scala types to model
> >   your data.
> >
> > - A modular system stack: Flink is not a direct implementation of its
> >   APIs but a layered system. All programming APIs are translated to an
> >   intermediate program representation that is compiled and optimized
> >   via a cost-based optimizer. Lower-level layers of Flink also expose
> >   programming APIs for extending the system.
> >
> > - Data pipelining/streaming: Flink's runtime is designed as a
> >   pipelined data processing engine rather than a batch processing
> >   engine. Operators do not wait for their predecessors to finish in
> >   order to start processing data. This results to very efficient
> >   handling of large intermediate data sets.
> >
> >
> > Release 0.6
> >
> > Flink 0.6 builds on the latest Stratosphere 0.5 release. It includes
> > many bug fixes and improvements that make the system more stable and
> > robust, as well as breaking API changes.
> > The full release notes are available here:
> >
> >
> https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12315522&version=12327101
> >
> > To download the release please visit
> > http://flink.incubator.apache.org/downloads.html
> >
> > Contributors
> >
> > Wilson Cao
> > Ufuk Celebi
> > Stephan Ewen
> > Jonathan Hasenberg
> > Markus Holzemer
> > Fabian Hueske
> > Sebastian Kunert
> > Vikhyat Korrapati
> > Aljoscha Krettek
> > Sebastian Kruse
> > Raymond Liu
> > Robert Metzger
> > Minglianh Qi
> > Till Rohrmann
> > Henry Saputra
> > Chesnay Schepler
> > Kostas Tzoumas
> > Robert Waury
> > Timo Walther
> > Daniel Warneke
> > Tobias Wiens
> >
>

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