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From Libin Sun <abnersunli...@gmail.com>
Subject Re: [VOTE] Accept Beam into the Apache Incubator
Date Sat, 30 Jan 2016 12:43:00 GMT
+1 (non-binding)

2016-01-29 23:51 GMT+08:00 Luke Han <lukehan@apache.org>:

> +1 (non-binding)
>
> On Fri, Jan 29, 2016 at 6:31 PM, Tom Barber <tom.barber@meteorite.bi>
> wrote:
>
> > +1 (binding)
> >
> > On Fri, Jan 29, 2016 at 10:03 AM, Tom White <tom.e.white@gmail.com>
> wrote:
> >
> > > +1 (binding)
> > >
> > > Tom
> > >
> > > On Thu, Jan 28, 2016 at 2:28 PM, Jean-Baptiste Onofré <jb@nanthrax.net
> >
> > > wrote:
> > > > Hi,
> > > >
> > > > the Beam proposal (initially Dataflow) was proposed last week.
> > > >
> > > > The complete discussion thread is available here:
> > > >
> > > >
> > >
> >
> http://mail-archives.apache.org/mod_mbox/incubator-general/201601.mbox/%3CCA%2B%3DKJmvj4wyosNTXVpnsH8PhS7jEyzkZngc682rGgZ3p28L42Q%40mail.gmail.com%3E
> > > >
> > > > As reminder the BeamProposal is here:
> > > >
> > > > https://wiki.apache.org/incubator/BeamProposal
> > > >
> > > > Regarding all the great feedbacks we received on the mailing list, we
> > > think
> > > > it's time to call a vote to accept Beam into the Incubator.
> > > >
> > > > Please cast your vote to:
> > > > [] +1 - accept Apache Beam as a new incubating project
> > > > []  0 - not sure
> > > > [] -1 - do not accept the Apache Beam project (because: ...)
> > > >
> > > > Thanks,
> > > > Regards
> > > > JB
> > > > ----
> > > > ## page was renamed from DataflowProposal
> > > > = Apache Beam =
> > > >
> > > > == Abstract ==
> > > >
> > > > Apache Beam is an open source, unified model and set of
> > language-specific
> > > > SDKs for defining and executing data processing workflows, and also
> > data
> > > > ingestion and integration flows, supporting Enterprise Integration
> > > Patterns
> > > > (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines
> > simplify
> > > the
> > > > mechanics of large-scale batch and streaming data processing and can
> > run
> > > on
> > > > a number of runtimes like Apache Flink, Apache Spark, and Google
> Cloud
> > > > Dataflow (a cloud service). Beam also brings DSL in different
> > languages,
> > > > allowing users to easily implement their data integration processes.
> > > >
> > > > == Proposal ==
> > > >
> > > > Beam is a simple, flexible, and powerful system for distributed data
> > > > processing at any scale. Beam provides a unified programming model, a
> > > > software development kit to define and construct data processing
> > > pipelines,
> > > > and runners to execute Beam pipelines in several runtime engines,
> like
> > > > Apache Spark, Apache Flink, or Google Cloud Dataflow. Beam can be
> used
> > > for a
> > > > variety of streaming or batch data processing goals including ETL,
> > stream
> > > > analysis, and aggregate computation. The underlying programming model
> > for
> > > > Beam provides MapReduce-like parallelism, combined with support for
> > > powerful
> > > > data windowing, and fine-grained correctness control.
> > > >
> > > > == Background ==
> > > >
> > > > Beam started as a set of Google projects (Google Cloud Dataflow)
> > focused
> > > on
> > > > making data processing easier, faster, and less costly. The Beam
> model
> > > is a
> > > > successor to MapReduce, FlumeJava, and Millwheel inside Google and is
> > > > focused on providing a unified solution for batch and stream
> > processing.
> > > > These projects on which Beam is based have been published in several
> > > papers
> > > > made available to the public:
> > > >
> > > >  * MapReduce - http://research.google.com/archive/mapreduce.html
> > > >  * Dataflow model  - http://www.vldb.org/pvldb/vol8/p1792-Akidau.pdf
> > > >  * FlumeJava - http://research.google.com/pubs/pub35650.html
> > > >  * MillWheel - http://research.google.com/pubs/pub41378.html
> > > >
> > > > Beam was designed from the start to provide a portable programming
> > layer.
> > > > When you define a data processing pipeline with the Beam model, you
> are
> > > > creating a job which is capable of being processed by any number of
> > Beam
> > > > processing engines. Several engines have been developed to run Beam
> > > > pipelines in other open source runtimes, including a Beam runner for
> > > Apache
> > > > Flink and Apache Spark. There is also a “direct runner”, for
> execution
> > on
> > > > the developer machine (mainly for dev/debug purposes). Another runner
> > > allows
> > > > a Beam program to run on a managed service, Google Cloud Dataflow, in
> > > Google
> > > > Cloud Platform. The Dataflow Java SDK is already available on GitHub,
> > and
> > > > independent from the Google Cloud Dataflow service. Another Python
> SDK
> > is
> > > > currently in active development.
> > > >
> > > > In this proposal, the Beam SDKs, model, and a set of runners will be
> > > > submitted as an OSS project under the ASF. The runners which are a
> part
> > > of
> > > > this proposal include those for Spark (from Cloudera), Flink (from
> data
> > > > Artisans), and local development (from Google); the Google Cloud
> > Dataflow
> > > > service runner is not included in this proposal. Further references
> to
> > > Beam
> > > > will refer to the Dataflow model, SDKs, and runners which are a part
> of
> > > this
> > > > proposal (Apache Beam) only. The initial submission will contain the
> > > > already-released Java SDK; Google intends to submit the Python SDK
> > later
> > > in
> > > > the incubation process. The Google Cloud Dataflow service will
> continue
> > > to
> > > > be one of many runners for Beam, built on Google Cloud Platform, to
> run
> > > Beam
> > > > pipelines. Necessarily, Cloud Dataflow will develop against the
> Apache
> > > > project additions, updates, and changes. Google Cloud Dataflow will
> > > become
> > > > one user of Apache Beam and will participate in the project openly
> and
> > > > publicly.
> > > >
> > > > The Beam programming model has been designed with simplicity,
> > > scalability,
> > > > and speed as key tenants. In the Beam model, you only need to think
> > about
> > > > four top-level concepts when constructing your data processing job:
> > > >
> > > >  * Pipelines - The data processing job made of a series of
> computations
> > > > including input, processing, and output
> > > >  * PCollections - Bounded (or unbounded) datasets which represent the
> > > input,
> > > > intermediate and output data in pipelines
> > > >  * PTransforms - A data processing step in a pipeline in which one or
> > > more
> > > > PCollections are an input and output
> > > >  * I/O Sources and Sinks - APIs for reading and writing data which
> are
> > > the
> > > > roots and endpoints of the pipeline
> > > >
> > > > == Rationale ==
> > > >
> > > > With Google Dataflow, Google intended to develop a framework which
> > > allowed
> > > > developers to be maximally productive in defining the processing, and
> > > then
> > > > be able to execute the program at various levels of
> > > > latency/cost/completeness without re-architecting or re-writing it.
> > This
> > > > goal was informed by Google’s past experience  developing several
> > models,
> > > > frameworks, and tools useful for large-scale and distributed data
> > > > processing. While Google has previously published papers describing
> > some
> > > of
> > > > its technologies, Google decided to take a different approach with
> > > Dataflow.
> > > > Google open-sourced the SDK and model alongside commercialization of
> > the
> > > > idea and ahead of publishing papers on the topic. As a result, a
> number
> > > of
> > > > open source runtimes exist for Dataflow, such as the Apache Flink and
> > > Apache
> > > > Spark runners.
> > > >
> > > > We believe that submitting Beam as an Apache project will provide an
> > > > immediate, worthwhile, and substantial contribution to the open
> source
> > > > community. As an incubating project, we believe Dataflow will have a
> > > better
> > > > opportunity to provide a meaningful contribution to OSS and also
> > > integrate
> > > > with other Apache projects.
> > > >
> > > > In the long term, we believe Beam can be a powerful abstraction layer
> > for
> > > > data processing. By providing an abstraction layer for data pipelines
> > and
> > > > processing, data workflows can be increasingly portable, resilient to
> > > > breaking changes in tooling, and compatible across many execution
> > > engines,
> > > > runtimes, and open source projects.
> > > >
> > > > == Initial Goals ==
> > > >
> > > > We are breaking our initial goals into immediate (< 2 months),
> > short-term
> > > > (2-4 months), and intermediate-term (> 4 months).
> > > >
> > > > Our immediate goals include the following:
> > > >
> > > >  * Plan for reconciling the Dataflow Java SDK and various runners
> into
> > > one
> > > > project
> > > >  * Plan for refactoring the existing Java SDK for better
> extensibility
> > by
> > > > SDK and runner writers
> > > >  * Validating all dependencies are ASL 2.0 or compatible
> > > >  * Understanding and adapting to the Apache development process
> > > >
> > > > Our short-term goals include:
> > > >
> > > >  * Moving the newly-merged lists, and build utilities to Apache
> > > >  * Start refactoring codebase and move code to Apache Git repo
> > > >  * Continue development of new features, functions, and fixes in the
> > > > Dataflow Java SDK, and Dataflow runners
> > > >  * Cleaning up the Dataflow SDK sources and crafting a roadmap and
> plan
> > > for
> > > > how to include new major ideas, modules, and runtimes
> > > >  * Establishment of easy and clear build/test framework for Dataflow
> > and
> > > > associated runtimes; creation of testing, rollback, and validation
> > policy
> > > >  * Analysis and design for work needed to make Beam a better data
> > > processing
> > > > abstraction layer for multiple open source frameworks and
> environments
> > > >
> > > > Finally, we have a number of intermediate-term goals:
> > > >
> > > >  * Roadmapping, planning, and execution of integrations with other
> OSS
> > > and
> > > > non-OSS projects/products
> > > >  * Inclusion of additional SDK for Python, which is under active
> > > development
> > > >
> > > > == Current Status ==
> > > >
> > > > === Meritocracy ===
> > > >
> > > > Dataflow was initially developed based on ideas from many employees
> > > within
> > > > Google. As an ASL OSS project on GitHub, the Dataflow SDK has
> received
> > > > contributions from data Artisans, Cloudera Labs, and other individual
> > > > developers. As a project under incubation, we are committed to
> > expanding
> > > our
> > > > effort to build an environment which supports a meritocracy. We are
> > > focused
> > > > on engaging the community and other related projects for support and
> > > > contributions. Moreover, we are committed to ensure contributors and
> > > > committers to Dataflow come from a broad mix of organizations
> through a
> > > > merit-based decision process during incubation. We believe strongly
> in
> > > the
> > > > Beam model and are committed to growing an inclusive community of
> Beam
> > > > contributors.
> > > >
> > > > === Community ===
> > > >
> > > > The core of the Dataflow Java SDK has been developed by Google for
> use
> > > with
> > > > Google Cloud Dataflow. Google has active community engagement in the
> > SDK
> > > > GitHub repository (
> > > https://github.com/GoogleCloudPlatform/DataflowJavaSDK),
> > > > on Stack Overflow
> > > > (http://stackoverflow.com/questions/tagged/google-cloud-dataflow)
> and
> > > has
> > > > had contributions from a number of organizations and indivuduals.
> > > >
> > > > Everyday, Cloud Dataflow is actively used by a number of
> organizations
> > > and
> > > > institutions for batch and stream processing of data. We believe
> > > acceptance
> > > > will allow us to consolidate existing Dataflow-related work, grow the
> > > > Dataflow community, and deepen connections between Dataflow and other
> > > open
> > > > source projects.
> > > >
> > > > === Core Developers ===
> > > >
> > > > The core developers for Dataflow and the Dataflow runners are:
> > > >
> > > >  * Frances Perry
> > > >  * Tyler Akidau
> > > >  * Davor Bonaci
> > > >  * Luke Cwik
> > > >  * Ben Chambers
> > > >  * Kenn Knowles
> > > >  * Dan Halperin
> > > >  * Daniel Mills
> > > >  * Mark Shields
> > > >  * Craig Chambers
> > > >  * Maximilian Michels
> > > >  * Tom White
> > > >  * Josh Wills
> > > >  * Robert Bradshaw
> > > >
> > > > === Alignment ===
> > > >
> > > > The Beam SDK can be used to create Beam pipelines which can be
> executed
> > > on
> > > > Apache Spark or Apache Flink. Beam is also related to other Apache
> > > projects,
> > > > such as Apache Crunch. We plan on expanding functionality for Beam
> > > runners,
> > > > support for additional domain specific languages, and increased
> > > portability
> > > > so Beam is a powerful abstraction layer for data processing.
> > > >
> > > > == Known Risks ==
> > > >
> > > > === Orphaned Products ===
> > > >
> > > > The Dataflow SDK is presently used by several organizations, from
> small
> > > > startups to Fortune 100 companies, to construct production pipelines
> > > which
> > > > are executed in Google Cloud Dataflow. Google has a long-term
> > commitment
> > > to
> > > > advance the Dataflow SDK; moreover, Dataflow is seeing increasing
> > > interest,
> > > > development, and adoption from organizations outside of Google.
> > > >
> > > > === Inexperience with Open Source ===
> > > >
> > > > Google believes strongly in open source and the exchange of
> information
> > > to
> > > > advance new ideas and work. Examples of this commitment are active
> OSS
> > > > projects such as Chromium (https://www.chromium.org) and Kubernetes
> > > > (http://kubernetes.io/). With Dataflow, we have tried to be
> > increasingly
> > > > open and forward-looking; we have published a paper in the VLDB
> > > conference
> > > > describing the Dataflow model
> > > > (http://www.vldb.org/pvldb/vol8/p1792-Akidau.pdf) and were quick to
> > > release
> > > > the Dataflow SDK as open source software with the launch of Cloud
> > > Dataflow.
> > > > Our submission to the Apache Software Foundation is a logical
> extension
> > > of
> > > > our commitment to open source software.
> > > >
> > > > === Homogeneous Developers ===
> > > >
> > > > The majority of committers in this proposal belong to Google due to
> the
> > > fact
> > > > that Dataflow has emerged from several internal Google projects. This
> > > > proposal also includes committers outside of Google who are actively
> > > > involved with other Apache projects, such as Hadoop, Flink, and
> Spark.
> > > We
> > > > expect our entry into incubation will allow us to expand the number
> of
> > > > individuals and organizations participating in Dataflow development.
> > > > Additionally, separation of the Dataflow SDK from Google Cloud
> Dataflow
> > > > allows us to focus on the open source SDK and model and do what is
> best
> > > for
> > > > this project.
> > > >
> > > > === Reliance on Salaried Developers ===
> > > >
> > > > The Dataflow SDK and Dataflow runners have been developed primarily
> by
> > > > salaried developers supporting the Google Cloud Dataflow project.
> While
> > > the
> > > > Dataflow SDK and Cloud Dataflow have been developed by different
> teams
> > > (and
> > > > this proposal would reinforce that separation) we expect our initial
> > set
> > > of
> > > > developers will still primarily be salaried. Contribution has not
> been
> > > > exclusively from salaried developers, however. For example, the
> contrib
> > > > directory of the Dataflow SDK
> > > > (
> > >
> >
> https://github.com/GoogleCloudPlatform/DataflowJavaSDK/tree/master/contrib
> > > )
> > > > contains items from free-time contributors. Moreover, seperate
> > projects,
> > > > such as ScalaFlow (https://github.com/darkjh/scalaflow) have been
> > > created
> > > > around the Dataflow model and SDK. We expect our reliance on salaried
> > > > developers will decrease over time during incubation.
> > > >
> > > > === Relationship with other Apache products ===
> > > >
> > > > Dataflow directly interoperates with or utilizes several existing
> > Apache
> > > > projects.
> > > >
> > > >  * Build
> > > >   * Apache Maven
> > > >  * Data I/O, Libraries
> > > >   * Apache Avro
> > > >   * Apache Commons
> > > >  * Dataflow runners
> > > >   * Apache Flink
> > > >   * Apache Spark
> > > >
> > > > Beam when used in batch mode shares similarities with Apache Crunch;
> > > > however, Beam is focused on a model, SDK, and abstraction layer
> beyond
> > > Spark
> > > > and Hadoop (MapReduce.) One key goal of Beam is to provide an
> > > intermediate
> > > > abstraction layer which can easily be implemented and utilized across
> > > > several different processing frameworks.
> > > >
> > > > === An excessive fascination with the Apache brand ===
> > > >
> > > > With this proposal we are not seeking attention or publicity. Rather,
> > we
> > > > firmly believe in the Beam model, SDK, and the ability to make Beam a
> > > > powerful yet simple framework for data processing. While the Dataflow
> > SDK
> > > > and model have been open source, we believe putting code on GitHub
> can
> > > only
> > > > go so far. We see the Apache community, processes, and mission as
> > > critical
> > > > for ensuring the Beam SDK and model are truly community-driven,
> > > positively
> > > > impactful, and innovative open source software. While Google has
> taken
> > a
> > > > number of steps to advance its various open source projects, we
> believe
> > > Beam
> > > > is a great fit for the Apache Software Foundation due to its focus on
> > > data
> > > > processing and its relationships to existing ASF projects.
> > > >
> > > > == Documentation ==
> > > >
> > > > The following documentation is relevant to this proposal. Relevant
> > > portion
> > > > of the documentation will be contributed to the Apache Beam project.
> > > >
> > > >  * Dataflow website: https://cloud.google.com/dataflow
> > > >  * Dataflow programming model:
> > > > https://cloud.google.com/dataflow/model/programming-model
> > > >  * Codebases
> > > >   * Dataflow Java SDK:
> > > > https://github.com/GoogleCloudPlatform/DataflowJavaSDK
> > > >   * Flink Dataflow runner:
> > > https://github.com/dataArtisans/flink-dataflow
> > > >   * Spark Dataflow runner:
> https://github.com/cloudera/spark-dataflow
> > > >  * Dataflow Java SDK issue tracker:
> > > > https://github.com/GoogleCloudPlatform/DataflowJavaSDK/issues
> > > >  * google-cloud-dataflow tag on Stack Overflow:
> > > > http://stackoverflow.com/questions/tagged/google-cloud-dataflow
> > > >
> > > > == Initial Source ==
> > > >
> > > > The initial source for Beam which we will submit to the Apache
> > Foundation
> > > > will include several related projects which are currently hosted on
> the
> > > > GitHub repositories:
> > > >
> > > >  * Dataflow Java SDK
> > > > (https://github.com/GoogleCloudPlatform/DataflowJavaSDK)
> > > >  * Flink Dataflow runner (
> > https://github.com/dataArtisans/flink-dataflow
> > > )
> > > >  * Spark Dataflow runner (https://github.com/cloudera/spark-dataflow
> )
> > > >
> > > > These projects have always been Apache 2.0 licensed. We intend to
> > bundle
> > > all
> > > > of these repositories since they are all complimentary and should be
> > > > maintained in one project. Prior to our submission, we will combine
> all
> > > of
> > > > these projects into a new git repository.
> > > >
> > > > == Source and Intellectual Property Submission Plan ==
> > > >
> > > > The source for the Dataflow SDK and the three runners (Spark, Flink,
> > > Google
> > > > Cloud Dataflow) are already licensed under an Apache 2 license.
> > > >
> > > >  * Dataflow SDK -
> > > >
> > >
> >
> https://github.com/GoogleCloudPlatform/DataflowJavaSDK/blob/master/LICENSE
> > > >  * Flink runner -
> > > > https://github.com/dataArtisans/flink-dataflow/blob/master/LICENSE
> > > >  * Spark runner -
> > > > https://github.com/cloudera/spark-dataflow/blob/master/LICENSE
> > > >
> > > > Contributors to the Dataflow SDK have also signed the Google
> Individual
> > > > Contributor License Agreement
> > > > (https://cla.developers.google.com/about/google-individual) in order
> > to
> > > > contribute to the project.
> > > >
> > > > With respect to trademark rights, Google does not hold a trademark on
> > the
> > > > phrase “Dataflow.” Based on feedback and guidance we receive during
> the
> > > > incubation process, we are open to renaming the project if necessary
> > for
> > > > trademark or other concerns.
> > > >
> > > > == External Dependencies ==
> > > >
> > > > All external dependencies are licensed under an Apache 2.0 or
> > > > Apache-compatible license. As we grow the Beam community we will
> > > configure
> > > > our build process to require and validate all contributions and
> > > dependencies
> > > > are licensed under the Apache 2.0 license or are under an
> > > Apache-compatible
> > > > license.
> > > >
> > > > == Required Resources ==
> > > >
> > > > === Mailing Lists ===
> > > >
> > > > We currently use a mix of mailing lists. We will migrate our existing
> > > > mailing lists to the following:
> > > >
> > > >  * dev@beam.incubator.apache.org
> > > >  * user@beam.incubator.apache.org
> > > >  * private@beam.incubator.apache.org
> > > >  * commits@beam.incubator.apache.org
> > > >
> > > > === Source Control ===
> > > >
> > > > The Dataflow team currently uses Git and would like to continue to do
> > > so. We
> > > > request a Git repository for Beam with mirroring to GitHub enabled.
> > > >
> > > >  * https://git-wip-us.apache.org/repos/asf/incubator-beam.git
> > > >
> > > > === Issue Tracking ===
> > > >
> > > > We request the creation of an Apache-hosted JIRA. The Dataflow
> project
> > is
> > > > currently using both a public GitHub issue tracker and internal
> Google
> > > issue
> > > > tracking. We will migrate and combine from these two sources to the
> > > Apache
> > > > JIRA.
> > > >
> > > >  * Jira ID: BEAM
> > > >
> > > > == Initial Committers ==
> > > >
> > > >  * Aljoscha Krettek        [aljoscha@apache.org]
> > > >  * Amit Sela               [amitsela33@gmail.com]
> > > >  * Ben Chambers            [bchambers@google.com]
> > > >  * Craig Chambers          [chambers@google.com]
> > > >  * Dan Halperin            [dhalperi@google.com]
> > > >  * Davor Bonaci            [davor@google.com]
> > > >  * Frances Perry           [fjp@google.com]
> > > >  * James Malone            [jamesmalone@google.com]
> > > >  * Jean-Baptiste Onofré    [jbonofre@apache.org]
> > > >  * Josh Wills              [jwills@apache.org]
> > > >  * Kostas Tzoumas          [kostas@data-artisans.com]
> > > >  * Kenneth Knowles         [klk@google.com]
> > > >  * Luke Cwik               [lcwik@google.com]
> > > >  * Maximilian Michels      [mxm@apache.org]
> > > >  * Stephan Ewen            [stephan@data-artisans.com]
> > > >  * Tom White               [tom@cloudera.com]
> > > >  * Tyler Akidau            [takidau@google.com]
> > > >  * Robert Bradshaw         [robertwb@google.com]
> > > >
> > > > == Additional Interested Contributors ==
> > > >
> > > >  * Debo Dutta              [dedutta@cisco.com]
> > > >  * Henry Saputra           [hsaputra@apache.org]
> > > >  * Taylor Goetz            [ptgoetz@gmail.com]
> > > >  * James Carman            [james@carmanconsulting.com]
> > > >  * Joe Witt                [joewitt@apache.org]
> > > >  * Vaibhav Gumashta        [vgumashta@hortonworks.com]
> > > >  * Prasanth Jayachandran   [pjayachandran@hortonworks.com]
> > > >  * Johan Edstrom           [seijoed@gmail.com]
> > > >  * Hugo Louro              [hmclouro@gmail.com]
> > > >  * Krzysztof Sobkowiak     [krzys.sobkowiak@gmail.com]
> > > >  * Jeff Genender           [jgenender@apache.org]
> > > >  * Edward J. Yoon          [edward.yoon@samsung.com]
> > > >  * Hao Chen                [hao@apache.org]
> > > >  * Byung-Gon Chun          [bgchun@gmail.com]
> > > >  * Charitha Elvitigala     [charithcc@apache.org]
> > > >  * Alexander Bezzubov      [bzz@apache.org]
> > > >  * Tsuyoshi Ozawa          [ozawa@apache.org]
> > > >  * Mayank Bansal           [mabansal@gmail.com]
> > > >  * Supun Kamburugamuve     [supun@apache.org]
> > > >  * Matthias Wessendorf     [matzew@apache.org]
> > > >  * Felix Cheung            [felixcheung@apache.org]
> > > >  * Ajay Yadava             [ajay.yadav@inmobi.com]
> > > >  * Liang Chen              [chenliang613@huawei.com]
> > > >  * Renaud Richardet        [renaud (at) apache (dot) org]
> > > >  * Bakey Pan               [bakey1985@gmail.com]
> > > >  * Andreas Neumann         [anew@apache.org]
> > > >  * Suresh Marru            [smarru@apache.org]
> > > >  * Hadrian Zbarcea         [hzbarcea@gmail.com]
> > > >
> > > > == Affiliations ==
> > > >
> > > > The initial committers are from six organizations. Google developed
> > > Dataflow
> > > > and the Dataflow SDK, data Artisans developed the Flink runner, and
> > > Cloudera
> > > > (Labs) developed the Spark runner.
> > > >
> > > >  * Cloudera
> > > >   * Tom White
> > > >  * Data Artisans
> > > >   * Aljoscha Krettek
> > > >   * Kostas Tzoumas
> > > >   * Maximilian Michels
> > > >   * Stephan Ewen
> > > >  * Google
> > > >   * Ben Chambers
> > > >   * Dan Halperin
> > > >   * Davor Bonaci
> > > >   * Frances Perry
> > > >   * James Malone
> > > >   * Kenneth Knowles
> > > >   * Luke Cwik
> > > >   * Tyler Akidau
> > > >   * Robert Bradshaw
> > > >  * PayPal
> > > >   * Amit Sela
> > > >  * Slack
> > > >   * Josh Wills
> > > >  * Talend
> > > >   * Jean-Baptiste Onofré
> > > >
> > > > == Sponsors ==
> > > >
> > > > === Champion ===
> > > >
> > > >  * Jean-Baptiste Onofre         [jbonofre@apache.org]
> > > >
> > > > === Nominated Mentors ===
> > > >
> > > >  * Jean-Baptiste Onofre       [jbonofre@apache.org]
> > > >  * Jim Jagielski              [jim@apache.org]
> > > >  * Venkatesh Seetharam        [venkatesh@apache.org]
> > > >  * Bertrand Delacretaz        [bdelacretaz@apache.org]
> > > >  * Ted Dunning                [tdunning@apache.org]
> > > >
> > > > === Sponsoring Entity ===
> > > >
> > > > The Apache Incubator
> > > > ----
> > > >
> > > > ---------------------------------------------------------------------
> > > > To unsubscribe, e-mail: general-unsubscribe@incubator.apache.org
> > > > For additional commands, e-mail: general-help@incubator.apache.org
> > > >
> > >
> > > ---------------------------------------------------------------------
> > > To unsubscribe, e-mail: general-unsubscribe@incubator.apache.org
> > > For additional commands, e-mail: general-help@incubator.apache.org
> > >
> > >
> >
>

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