+1 (non-binding)
On Fri, Jan 29, 2016 at 5:31 AM, Adunuthula, Seshu <sadunuth...@ebay.com> wrote: > +1 (non-binding) > > On 1/28/16, 12:05 PM, "Julian Hyde" <jh...@apache.org> wrote: > > >+1 (binding) > > > >> On Jan 28, 2016, at 10:42 AM, Mayank Bansal <maban...@gmail.com> wrote: > >> > >> +1 (non-binding) > >> > >> Thanks, > >> Mayank > >> > >> On Thu, Jan 28, 2016 at 10:23 AM, Seetharam Venkatesh < > >> venkat...@innerzeal.com> wrote: > >> > >>> +1 (binding). > >>> > >>> Thanks! > >>> > >>> On Thu, Jan 28, 2016 at 10:19 AM Ted Dunning <ted.dunn...@gmail.com> > >>> wrote: > >>> > >>>> +1 > >>>> > >>>> > >>>> > >>>> On Thu, Jan 28, 2016 at 10:02 AM, John D. Ament > >>>><johndam...@apache.org> > >>>> wrote: > >>>> > >>>>> +1 > >>>>> > >>>>> On Thu, Jan 28, 2016 at 9:28 AM Jean-Baptiste Onofré > >>>>><j...@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.c > >>>om%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 ³direct runner², > >>> 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 Google¹s 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/contr > >>>ib > >>>>>> ) > >>>>>> 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/LICEN > >>>SE > >>>>>> * 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 ³Dataflow.² 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: > >>>>>> > >>>>>> * d...@beam.incubator.apache.org > >>>>>> * u...@beam.incubator.apache.org > >>>>>> * priv...@beam.incubator.apache.org > >>>>>> * comm...@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 [aljos...@apache.org] > >>>>>> * Amit Sela [amitsel...@gmail.com] > >>>>>> * Ben Chambers [bchamb...@google.com] > >>>>>> * Craig Chambers [chamb...@google.com] > >>>>>> * Dan Halperin [dhalp...@google.com] > >>>>>> * Davor Bonaci [da...@google.com] > >>>>>> * Frances Perry [f...@google.com] > >>>>>> * James Malone [jamesmal...@google.com] > >>>>>> * Jean-Baptiste Onofré [jbono...@apache.org] > >>>>>> * Josh Wills [jwi...@apache.org] > >>>>>> * Kostas Tzoumas [kos...@data-artisans.com] > >>>>>> * Kenneth Knowles [k...@google.com] > >>>>>> * Luke Cwik [lc...@google.com] > >>>>>> * Maximilian Michels [m...@apache.org] > >>>>>> * Stephan Ewen [step...@data-artisans.com] > >>>>>> * Tom White [t...@cloudera.com] > >>>>>> * Tyler Akidau [taki...@google.com] > >>>>>> * Robert Bradshaw [rober...@google.com] > >>>>>> > >>>>>> == Additional Interested Contributors == > >>>>>> > >>>>>> * Debo Dutta [dedu...@cisco.com] > >>>>>> * Henry Saputra [hsapu...@apache.org] > >>>>>> * Taylor Goetz [ptgo...@gmail.com] > >>>>>> * James Carman [ja...@carmanconsulting.com] > >>>>>> * Joe Witt [joew...@apache.org] > >>>>>> * Vaibhav Gumashta [vgumas...@hortonworks.com] > >>>>>> * Prasanth Jayachandran [pjayachand...@hortonworks.com] > >>>>>> * Johan Edstrom [seij...@gmail.com] > >>>>>> * Hugo Louro [hmclo...@gmail.com] > >>>>>> * Krzysztof Sobkowiak [krzys.sobkow...@gmail.com] > >>>>>> * Jeff Genender [jgenen...@apache.org] > >>>>>> * Edward J. Yoon [edward.y...@samsung.com] > >>>>>> * Hao Chen [h...@apache.org] > >>>>>> * Byung-Gon Chun [bgc...@gmail.com] > >>>>>> * Charitha Elvitigala [charit...@apache.org] > >>>>>> * Alexander Bezzubov [b...@apache.org] > >>>>>> * Tsuyoshi Ozawa [oz...@apache.org] > >>>>>> * Mayank Bansal [maban...@gmail.com] > >>>>>> * Supun Kamburugamuve [su...@apache.org] > >>>>>> * Matthias Wessendorf [mat...@apache.org] > >>>>>> * Felix Cheung [felixche...@apache.org] > >>>>>> * Ajay Yadava [ajay.ya...@inmobi.com] > >>>>>> * Liang Chen [chenliang...@huawei.com] > >>>>>> * Renaud Richardet [renaud (at) apache (dot) org] > >>>>>> * Bakey Pan [bakey1...@gmail.com] > >>>>>> * Andreas Neumann [a...@apache.org] > >>>>>> * Suresh Marru [sma...@apache.org] > >>>>>> * Hadrian Zbarcea [hzbar...@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 [jbono...@apache.org] > >>>>>> > >>>>>> === Nominated Mentors === > >>>>>> > >>>>>> * Jean-Baptiste Onofre [jbono...@apache.org] > >>>>>> * Jim Jagielski [j...@apache.org] > >>>>>> * Venkatesh Seetharam [venkat...@apache.org] > >>>>>> * Bertrand Delacretaz [bdelacre...@apache.org] > >>>>>> * Ted Dunning [tdunn...@apache.org] > >>>>>> > >>>>>> === Sponsoring Entity === > >>>>>> > >>>>>> The Apache Incubator > >>>>>> ---- > >>>>>> > >>>>>> > >>>>>>--------------------------------------------------------------------- > >>>>>> To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org > >>>>>> For additional commands, e-mail: general-h...@incubator.apache.org > >>>>>> > >>>>>> > >>>>> > >>>> > >>> > >> > >> > >> > >> -- > >> Thanks and Regards, > >> Mayank > >> Cell: 408-718-9370 > > > > > >--------------------------------------------------------------------- > >To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org > >For additional commands, e-mail: general-h...@incubator.apache.org > > > > > --------------------------------------------------------------------- > To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org > For additional commands, e-mail: general-h...@incubator.apache.org > > -- Byung-Gon Chun
