+1 (binding) On Thu, Apr 27, 2017 at 3:08 PM, Jacques Nadeau <jacq...@apache.org> wrote:
> +1 binding > > On Apr 27, 2017 1:35 PM, "Jitendra Pandey" <jiten...@hortonworks.com> > wrote: > > > Re-affirming. +1 (binding) > > > > On 4/27/17, 1:24 PM, "Ashutosh Chauhan" <ashutosh.chau...@gmail.com> > > wrote: > > > > Re-affirming my vote as well: > > > > +1 (binding) > > > > On Thu, Apr 27, 2017 at 10:45 AM, Julian Hyde <jh...@apache.org> > > wrote: > > > > > Re-affriming my vote: > > > > > > +1 (binding) > > > > > > > On Apr 26, 2017, at 11:12 PM, Jeff Feng <jeff.f...@gmail.com> > > wrote: > > > > > > > > Hello everyone, > > > > > > > > Thank you for checking out our proposal on Superset and for your > > > > consideration for the Apache Incubator. So far, I believe we > have > > 8 > > > > binding votes and 2 non-binding votes. > > > > > > > > As Taylor mentioned earlier, we made a minor update to the > wording > > in the > > > > "Source and Intellectual Property Submission Plan" section based > > on a > > > > suggestion by John Ament. The update was to help confirm the > > previously > > > > unstated assumption that we will submit an SGA. I have copied > the > > > updated > > > > proposal from the wiki to the email below and highlighted (in > > yellow) the > > > > new sentence below in the document. > > > > > > > > Folks on the cc line who have already voted, please let us know > if > > the > > > > change impacts your vote. > > > > > > > > Thank you all, > > > > Jeff > > > > > > > > > > > > > > > > = Superset = > > > > > > > > == Abstract == > > > > Superset is an enterprise-ready web application for data > > exploration, > > > data > > > > visualization and dashboarding. > > > > > > > > == Proposal == > > > > Superset is business intelligence (BI) software that helps modern > > > > organizations visualize and interact with their data. Superset > > enables > > > > users explore data from a variety of databases, assemble > beautiful > > > > dashboards and share their findings. Superset works neatly with > > all > > > modern > > > > SQL-speaking databases, and integrates with Druid.io to provide > > > real-time, > > > > interactive, blazing fast data access to large datasets. > > > > > > > > == Background == > > > > Data is mission critical. To succeed in this era, organizations > > need to > > > > provide low-friction, intuitive and interactive access to data. > It > > is > > > > paramount for knowledge workers to be capable of answering their > > own > > > > questions by querying, exploring and visualizing data. > > > > > > > > The entire business intelligence industry has pivoted from a > model > > of > > > > centralized top-down platforms driven by IT organizations to > > self-service > > > > analytics and agile workflows by any user. This shift unblocks > > > centralized > > > > service bottlenecks for creating data visualizations while also > > creating > > > an > > > > environment that is iterative and fast-moving. This means that > > business > > > > intelligence software must also be easy and delightful to use. > > > > Self-service analytics doesn’t mean that admin and governance > > features > > > are > > > > not needed. > > > > Modern BI tools provide fine-grain access controls and auditing > > > > capabilities to understand how data is being used. Superset is a > > > solution > > > > that delivers on all of these vectors. > > > > > > > > The technology stack is also constantly morphing - vendors are > > struggling > > > > to provide cheap, quick and easy solutions to access data. > > Business > > > > intelligence users are finding existing solutions lacking as > these > > > software > > > > products either disregard or react slowly to recent game-changing > > > > technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, > > d3.js, > > > > React.js and iPython’s Jupyter for instance. > > > > > > > > == Rationale == > > > > Business intelligence is more relevant today than at any other > > point in > > > > history. Organizations are currently very limited in options for > > open > > > > source data visualization solutions, especially solutions that > are > > both > > > > self-service and enterprise-ready. Every company informing their > > > decisions > > > > with data needs a BI tool. > > > > > > > > We believe that Superset will be a strong compliment to existing > > Apache > > > > Software Foundation technologies by offering scalable user > > interactions > > > to > > > > distributed storage and computation solutions. Users will often > > find > > > that > > > > Superset can act as a catalyst for tooling that can visualize the > > > byproduct > > > > of data and computation infrastructure. > > > > > > > > Superset has many key design elements that help fill a gap in > > current > > > > solutions for organizations: > > > > * Easy, low friction access to data through a simple, web-based > > data > > > > exploration interface. Composing charts and dashboards are > > intuitive. > > > > Eliminating the need to write code or SQL empowers anyone to use > > it. > > > > * Access to a wide array of rich, interactive data visualization > > types. > > > > * Enterprise-ready: Integration with different authentication > > mechanisms > > > > and granular permissions centered around actions and data access. > > > > * Realtime & fast: Superset provides realtime analytics at the > > speed of > > > > thought on very large datasets when integrated with Druid.io. > > > > * Broad data access: Consume data out of any SQL-speaking > > relational > > > > database. > > > > * Extensible: Can be extended to talk to many noSQL databases > like > > Apache > > > > Drill, Elastic Search, and other popular database engines. > > > > * Fast loading dashboards with configurable web-scale caching. > > > > * Plug-in framework that enables organizations to build custom > > analytical > > > > applications with new UI/UX interfaces. > > > > * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking > > users > > > > with more flexibility. SQL Lab integrates with the visualization > > engine > > > > seamlessly. > > > > > > > > == Initial Goals == > > > > The initial goals of the Superset project are several-fold: > > > > * Move the existing codebase to Apache and integrate with the > > Apache > > > > development process. > > > > * Redesign the user interface and interaction model for creating > > > > visualizations/dashboards and connecting to data sources > > > > * Build robust support for security and governance of the tool > > including > > > > popular authorization modules (including Apache Ranger and Apache > > Sentry) > > > > and a more sophisticated permissions system > > > > * Grow the extensibility of the project both in terms of enhanced > > > > connectivity to NoSQL-based data sources and creating a plug-in > > framework > > > > that enables organizations to build custom analytical > applications > > which > > > > require a new UI/UX > > > > > > > > == Current Status == > > > > By many standards, Superset is already a successful open source > > project. > > > As > > > > of March 2017, Superset is officially used in production at about > > a dozen > > > > companies, has received contributions from over one hundred > > contributors > > > on > > > > Github, 1500+ forks, and 12k+ stars. > > > > > > > > Sizeable companies like Airbnb, Yahoo! and Hortonworks have made > > > > significant contributions, and expressed their commitment to the > > project. > > > > The product is feature complete and has been viable for months. > It > > > already > > > > serves as the main interface for consuming data at many companies > > of > > > > different sizes. > > > > > > > > While the product is usable, there’s room for improvement across > > the > > > board, > > > > starting with providing a smoother user experience around content > > > creation, > > > > making sure all features work out-of-the-box on more platforms > and > > > > databases, providing better user training guides and videos, > > having a > > > > predictable release process, and increasing the overall quality > of > > the > > > > Superset releases. > > > > > > > > === Meritocracy === > > > > We plan to invest in supporting a meritocracy. We will discuss > the > > > > requirements in an open forum. Several companies have expressed > > interest > > > in > > > > this project, and we intend to invite additional developers to > > > participate. > > > > We will encourage and monitor community participation so that > > privileges > > > > can be extended to those that contribute. > > > > > > > > === Community === > > > > The need for an enterprise-ready data visualization and > exploration > > > > platform in the open source community is tremendous. While > > Superset is > > > > fairly well known, recognized and used within the Druid.io > > community, > > > > adoption is currently limited outside of that niche. There is a > > huge > > > > opportunity to grow the community to hundreds if not thousands of > > > > organizations, and we are hoping that embracing “the Apache way” > > will > > > > accelerate the growth of our community. > > > > > > > > We have already been active at seeking and inviting > contributions, > > and > > > are > > > > planning to scale the project by investing time and growing the > > support > > > > structure to grow the community. > > > > > > > > === Core Developers === > > > > The initial committers for Superset include experienced full > stack, > > > > front-end and data engineers: > > > > * Maxime Beauchemin (Airbnb) > > > > * Alanna Scott (Airbnb) > > > > * Bogdan Kyryliuk (Airbnb) > > > > * Vera Liu (Airbnb) > > > > * Jeff Feng (Airbnb) > > > > * Ashutosh Chauhan (Hortonworks) > > > > * Nishant Bangarwa (Hortonworks) > > > > * Slim Bouguerra (Hortonworks) > > > > * Priyank Shah (Hortonworks) > > > > * Sriharsha Chintalapani (Hortonworks) > > > > * Daniel Dai (Hortonworks) > > > > > > > > We realize that additional employer diversity is needed, and we > > will work > > > > aggressively to recruit developers from additional companies. > > > > > > > > === Alignment === > > > > The initial committers strongly believe that a system for > > interactive > > > > visualization of data will gain broader adoption as an open > source, > > > > community driven project, where the community can contribute not > > only to > > > > the core components, but also to a growing collection of > > connectors, > > > > visualizations and improving integration a all potential data > > sources. > > > > Superset already integrates closely with Apache Hive, the Hive > > metastore, > > > > as well as most SQL-speaking databases found in modern data > > ecosystems. > > > > > > > > == Known Risks == > > > > > > > > === Orphaned Products === > > > > Superset is a vital component for both visualizing, accessing and > > > > democratizing data at Airbnb. Also at Hortonworks, Superset is a > > core > > > > component of the DataFlow product offering. Thus, the risk of > the > > > project > > > > being orphaned is relatively low. The project could be at risk > if > > Airbnb > > > > changes their approach for democratizing data or if Hortonworks > > changes > > > > their strategy in the market. In such an event, the committers > > plan to > > > > continue working on the project on their own time, thought the > > progress > > > > will likely be slower. We plan to mitigate this risk by > recruiting > > > > additional committers. > > > > > > > > === Inexperience with Open Source === > > > > The initial committers include veteran Apache members (committers > > and > > > PPMC > > > > members) and other developers who have varying degrees of > > experience with > > > > open source projects. All have been involved with source code > that > > has > > > been > > > > released under an open source license, and several also have > > experience > > > > developing code with an open source development process. > > > > > > > > === Homogenous Developers === > > > > The initial committers are employed by Airbnb Inc. and > > Hortonworks. We > > > are > > > > committed to recruiting additional committers from other > companies. > > > > > > > > === Reliance on Salaried Developers === > > > > It is expected that Superset development will occur on both > > salaried time > > > > and on volunteer time, after hours. The majority of initial > > committers > > > are > > > > paid by their employer to contribute to this project. However, > > they are > > > all > > > > passionate about the project, and we are confident that the > > project will > > > > continue even if no salaried developers contribute to the > project. > > We are > > > > committed to recruiting additional committers including > > non-salaried > > > > developers. > > > > > > > > === Relationships with Other Apache Products === > > > > To the knowledge of the Initial Committers, there are no direct > > > competitors > > > > to Superset within the Apache Software Foundation. That said, > > Apache > > > > Zeppelin is an indirect competitor, but it solves a different use > > case. > > > > > > > > Apache Zeppelin is a web-based notebook that enables interactive > > data > > > > analytics. It enables the creation of beautiful data-driven, > > interactive > > > > and collaborative documents with SQL, Scala and more. Although a > > user > > > can > > > > create data visualizations using this project, it leverages a > > notebook > > > > style user interfaces and it is geared towards the Spark > community > > where > > > > Scala and SQL co-exist > > > > > > > > We look forward to collaborating with those communities, as well > > as other > > > > Apache communities. > > > > > > > > === An Excessive Fascination with the Apache Brand === > > > > Superset is solving two huge challenges: > > > > The challenge of enabling every knowledge worker to make data > > informed > > > > decisions, particularly those who are not deeply skilled at > > writing SQL. > > > > The challenge of visualizing huge amounts of data interactively > > and in > > > > real-time > > > > > > > > Superset was first developed as a data visualization solution for > > > Druid.io > > > > as a way to visualize billions of rows of data. Since then, > usage > > of > > > > Superset has expanded to address data visualization use cases > > across SQL > > > > speaking data sources as well. > > > > > > > > Our rationale for developing Superset as an Apache project is > > detailed in > > > > the Rationale Section. We believe that the Apache brand and > > community > > > > process will help us attract more contributors to this project, > > and help > > > > grow the footprint of the project through usage at other > > organizations > > > and > > > > within other applications. Establishing consensus among users > and > > > > developers will result in a more valuable tool for everyone. > > > > > > > > == Documentation == > > > > References to further reading material: > > > > * [[http://airbnb.io/superset/|Superset Documentation]] > > > > * [[https://medium.com/airbnb-engineering/caravel-airbnb-s-dat > > > > a-exploration-platform-15a72aa610e5#.npqmmbu25|Blog Post: > > Superset: > > > > Airbnb’s Data Exploration Platform]] > > > > * [[https://medium.com/airbnb-engineering/superset-scaling-dat > > > > a-access-and-visual-insights-at-airbnb-3ce3e9b88a7f#. > > a505zvb1t|Blog > > > Post: > > > > Superset: Scaling Data Access & Visual Insights at Airbnb]] > > > > > > > > == Initial Source == > > > > The origin of the proposed code base can be found at > > > > https://github.com/airbnb/superset. The code base is primarily > in > > > Python. > > > > > > > > == Source and Intellectual Property Submission Plan == > > > > Airbnb will submit a Software Grant Agreement (SGA) as Superset > > joins the > > > > incubator. We do not expect any complications for the submission > > of the > > > > Superset code base. Our code is already in Github and there is > > only a > > > > single code base. > > > > > > > > == External Dependencies == > > > > List of Python packages, from the Python Package Index (Pypi): > > > > > > > > * boto3 > > > > * celery > > > > * cryptography > > > > * flask-appbuilder > > > > * flask-cache > > > > * flask-migrate > > > > * flask-script > > > > * flask-sqlalchemy > > > > * flask-testing > > > > * humanize > > > > * gunicorn > > > > * markdown > > > > * pandas > > > > * parsedatetime > > > > * pydruid > > > > * PyHive > > > > * python-dateutil > > > > * requests > > > > * simplejson > > > > * six > > > > * sqlalchemy > > > > * sqlalchemy-utils > > > > * sqlparse > > > > * thrift > > > > * thrift-sasl > > > > * werkzeug > > > > > > > > List of Javascript packages, from NPM: > > > > * autobind-decorator > > > > * bootstrap > > > > * bootstrap-datepicker > > > > * brace > > > > * brfs > > > > * cal-heatmap > > > > * classnames > > > > * d3 > > > > * d3-cloud > > > > * d3-sankey > > > > * d3-scale > > > > * d3-tip > > > > * datamaps > > > > * datatables-bootstrap3-plugin > > > > * datatables.net-bs > > > > * font-awesome > > > > * gridster > > > > * immutability-helper > > > > * immutable > > > > * jquery > > > > * lodash.throttle > > > > * mapbox-gl > > > > * moment > > > > * moments > > > > * mustache > > > > * nvd3 > > > > * react > > > > * react-ace > > > > * react-bootstrap > > > > * react-bootstrap-table > > > > * react-dom > > > > * react-draggable > > > > * react-gravatar > > > > * react-grid-layout > > > > * react-map-gl > > > > * react-redux > > > > * react-resizable > > > > * react-select > > > > * react-syntax-highlighter > > > > * reactable > > > > * redux > > > > * redux-localstorage > > > > * redux-thunk > > > > * shortid > > > > * style-loader > > > > * supercluster > > > > * topojson > > > > * victory > > > > * viewport-mercator-project > > > > > > > > == Cryptography == > > > > The proposal does not include cryptographic code. > > > > > > > > == Required Resources == > > > > > > > > === Mailing List === > > > > There is a current mailing list as a Google Group > > “airbnb_superset” that > > > we > > > > are planning on deprecating as the Apache.org become ready to > > serve our > > > > community. > > > > > > > > * superset-private > > > > * superset-dev > > > > * superset-user > > > > > > > > === Subversion Directory === > > > > Git is the preferred source control system. > > > http://svn.apache.org/repos/as > > > > f/incubator/superset > > > > > > > > == Git Repository == > > > > Git is the preferred source control system, we’re assuming > > > > https://github.com/apache/incubator-superset based on the naming > > scheme > > > > > > > > == Issue Tracking == > > > > JIRA Superset (SUPERSET). If possible, we’d like to use Github > > issues & > > > PRs > > > > to manage our project as much as possible. It’s been said that > > there are > > > > ways to keep Github’s issues in sync with Jira, allowing us to > get > > best > > > of > > > > both worlds. If that is not possible, we will comply to using > Jira. > > > > > > > > == Other Resources == > > > > We currently use a set of Github integrated services that are > free > > to the > > > > open source community, like Travis-ci, Code Climate, Coveralls, > > > > Landscape.io, Requires.io, david-dm and Gitter. We would like to > > keep > > > using > > > > these services as they allow us to scale contributions and > > optimize our > > > > development flows. These services require some elevated rights on > > the > > > > Github repository in order to set up or tune and we would like > for > > the > > > > committers to have the required rights. > > > > > > > > > > > > == Initial Committers == > > > > > > > > * Maxime Beauchemin <maxime.beauche...@airbnb.com> - PPMC & > > Committer > > > > * Alanna Scott <alanna.sc...@airbnb.com> - PPMC & Committer > > > > * Bogdan Kyryliuk <b.kyryl...@gmail.com> - PPMC & Committer > > > > * Vera Liu <vera....@airbnb.com> - Committer > > > > * Jeff Feng <jeff.f...@airbnb.com> - PPMC & Committer > > > > * Ashutosh Chauhan <hashut...@apache.org> - Mentor & Committer > > > > * Nishant Bangarwa <nbanga...@hortonworks.com> - PPMC & > Committer > > > > * Slim Bouguerra <sbougue...@hortonworks.com> - Committer > > > > * Priyank Shah <ps...@hortonworks.com> - Committer > > > > * Harsha Chintalapani <schintalap...@hortonworks.com> - > Committer > > > > * Daniel Dai <da...@apache.org> - Champion & Committer > > > > * Luke Han <luke....@apache.org> - Mentor > > > > > > > > == Affiliations == > > > > The initial committers are employees of Airbnb Inc. and > > Hortonworks. > > > > > > > > == Sponsors == > > > > > > > > === Champion === > > > > Daniel Dai <da...@apache.org> > > > > > > > > === Nominated Mentors === > > > > * Ashutosh Chauhan <hashut...@apache.org> > > > > * Luke Han <luke....@apache.org> > > > > > > > > === Sponsoring Entity === > > > > Incubator PMC > > > > > > > > > > > > > > > > > > > > > > > > On Wed, Apr 26, 2017 at 6:31 PM, Edward J. Yoon < > > edwardy...@apache.org> > > > > wrote: > > > > > > > >> +1 binding > > > >> > > > >> On Thu, Apr 27, 2017 at 10:29 AM, Naresh Agarwal > > > >> <naresh.agar...@gmail.com> wrote: > > > >>> +1 (non-binding). > > > >>> > > > >>> Thanks > > > >>> Naresh Agarwal > > > >>> > > > >>> On Thu, Apr 27, 2017 at 5:06 AM, Ted Dunning < > > ted.dunn...@gmail.com> > > > >> wrote: > > > >>> > > > >>>> +1 (binding) > > > >>>> > > > >>>> > > > >>>> > > > >>>> On Tue, Apr 25, 2017 at 1:58 PM, Joe Witt <joe.w...@gmail.com > > > > wrote: > > > >>>> > > > >>>>> +1 (binding) > > > >>>>> > > > >>>>> On Tue, Apr 25, 2017 at 4:52 PM, Jitendra Pandey > > > >>>>> <jiten...@hortonworks.com> wrote: > > > >>>>>> +1 (binding) > > > >>>>>> > > > >>>>>> On 4/25/17, 1:27 PM, "Julian Hyde" <jh...@apache.org> > wrote: > > > >>>>>> > > > >>>>>> +1 binding > > > >>>>>> > > > >>>>>>> On Apr 25, 2017, at 12:48 PM, moon soo Lee < > m...@apache.org> > > > >>>>> wrote: > > > >>>>>>> > > > >>>>>>> +1 (non-binding) > > > >>>>>>> > > > >>>>>>> On Tue, Apr 25, 2017 at 11:49 AM Ashutosh Chauhan < > > > >>>>> hashut...@apache.org> > > > >>>>>>> wrote: > > > >>>>>>> > > > >>>>>>>> +1 (binding) > > > >>>>>>>> > > > >>>>>>>> Thanks, > > > >>>>>>>> Ashutosh > > > >>>>>>>> > > > >>>>>>>> On Mon, Apr 24, 2017 at 5:45 AM, Luke Han < > > luke...@gmail.com > > > >>> > > > >>>>> wrote: > > > >>>>>>>> > > > >>>>>>>>> +1 binding > > > >>>>>>>>> > > > >>>>>>>>> Love to see Superset to be new incubator project. > > > >>>>>>>>> > > > >>>>>>>>> > > > >>>>>>>>> Best Regards! > > > >>>>>>>>> --------------------- > > > >>>>>>>>> > > > >>>>>>>>> Luke Han > > > >>>>>>>>> > > > >>>>>>>>> On Sun, Apr 23, 2017 at 10:53 PM, Jeff Feng < > > > >>>> jeff.f...@gmail.com> > > > >>>>> wrote: > > > >>>>>>>>> > > > >>>>>>>>>> Dear Apache Incubator Community, > > > >>>>>>>>>> > > > >>>>>>>>>> We have updated the Superset proposal > > > >>>>>>>>>> <https://wiki.apache.org/incubator/SupersetProposal> > > > >> (copied > > > >>>>> below) for > > > >>>>>>>>>> > > > >>>>>>>>>> Apache Incubation with an additional mentor (Luke Han - > > > >>>>>>>>>> luke....@apache.org), > > > >>>>>>>>>> and would like to start a vote thread for acceptance > into > > > >> the > > > >>>>> incubator. > > > >>>>>>>>>> > > > >>>>>>>>>> Our team is excited to share Superset with the Apache > > > >>>> community > > > >>>>> and we > > > >>>>>>>>>> hope > > > >>>>>>>>>> for the your continued support! > > > >>>>>>>>>> > > > >>>>>>>>>> Cheers, > > > >>>>>>>>>> Jeff & the Superset Team > > > >>>>>>>>>> > > > >>>>>>>>>> > > > >>>>>>>>>> > > > >>>>>>>>>> > > > >>>>>>>>>> = Superset = > > > >>>>>>>>>> > > > >>>>>>>>>> == Abstract == > > > >>>>>>>>>> Superset is an enterprise-ready web application for data > > > >>>>> exploration, > > > >>>>>>>> data > > > >>>>>>>>>> visualization and dashboarding. > > > >>>>>>>>>> > > > >>>>>>>>>> == Proposal == > > > >>>>>>>>>> Superset is business intelligence (BI) software that > helps > > > >>>>> modern > > > >>>>>>>>>> organizations visualize and interact with their data. > > > >> Superset > > > >>>>> enables > > > >>>>>>>>>> users explore data from a variety of databases, assemble > > > >>>>> beautiful > > > >>>>>>>>>> dashboards and share their findings. Superset works > > neatly > > > >>>>> with all > > > >>>>>>>>>> modern > > > >>>>>>>>>> SQL-speaking databases, and integrates with Druid.io to > > > >>>> provide > > > >>>>>>>> real-time, > > > >>>>>>>>>> interactive, blazing fast data access to large datasets. > > > >>>>>>>>>> > > > >>>>>>>>>> == Background == > > > >>>>>>>>>> Data is mission critical. To succeed in this era, > > > >>>> organizations > > > >>>>> need to > > > >>>>>>>>>> provide low-friction, intuitive and interactive access > to > > > >>>> data. > > > >>>>> It is > > > >>>>>>>>>> paramount for knowledge workers to be capable of > answering > > > >>>>> their own > > > >>>>>>>>>> questions by querying, exploring and visualizing data. > > > >>>>>>>>>> > > > >>>>>>>>>> The entire business intelligence industry has pivoted > from > > > >> a > > > >>>>> model of > > > >>>>>>>>>> centralized top-down platforms driven by IT > organizations > > > >> to > > > >>>>>>>> self-service > > > >>>>>>>>>> analytics and agile workflows by any user. This shift > > > >>>> unblocks > > > >>>>>>>>>> centralized > > > >>>>>>>>>> service bottlenecks for creating data visualizations > while > > > >>>> also > > > >>>>> creating > > > >>>>>>>>>> an > > > >>>>>>>>>> environment that is iterative and fast-moving. This > means > > > >>>> that > > > >>>>> business > > > >>>>>>>>>> intelligence software must also be easy and delightful > to > > > >> use. > > > >>>>>>>>>> Self-service analytics doesn’t mean that admin and > > > >> governance > > > >>>>> features > > > >>>>>>>> are > > > >>>>>>>>>> not needed. > > > >>>>>>>>>> Modern BI tools provide fine-grain access controls and > > > >>>> auditing > > > >>>>>>>>>> capabilities to understand how data is being used. > > > >> Superset > > > >>>> is > > > >>>>> a > > > >>>>>>>> solution > > > >>>>>>>>>> that delivers on all of these vectors. > > > >>>>>>>>>> > > > >>>>>>>>>> The technology stack is also constantly morphing - > vendors > > > >> are > > > >>>>>>>> struggling > > > >>>>>>>>>> to provide cheap, quick and easy solutions to access > data. > > > >>>>> Business > > > >>>>>>>>>> intelligence users are finding existing solutions > lacking > > > >> as > > > >>>>> these > > > >>>>>>>>>> software > > > >>>>>>>>>> products either disregard or react slowly to recent > > > >>>>> game-changing > > > >>>>>>>>>> technologies like Druid.io, PrestoDB, Apache Drill, > Apache > > > >>>>> Kylin, d3.js, > > > >>>>>>>>>> React.js and iPython’s Jupyter for instance. > > > >>>>>>>>>> > > > >>>>>>>>>> == Rationale == > > > >>>>>>>>>> Business intelligence is more relevant today than at any > > > >> other > > > >>>>> point in > > > >>>>>>>>>> history. Organizations are currently very limited in > > > >> options > > > >>>>> for open > > > >>>>>>>>>> source data visualization solutions, especially > solutions > > > >> that > > > >>>>> are both > > > >>>>>>>>>> self-service and enterprise-ready. Every company > > informing > > > >>>>> their > > > >>>>>>>>>> decisions > > > >>>>>>>>>> with data needs a BI tool. > > > >>>>>>>>>> > > > >>>>>>>>>> We believe that Superset will be a strong compliment to > > > >>>>> existing Apache > > > >>>>>>>>>> Software Foundation technologies by offering scalable > user > > > >>>>> interactions > > > >>>>>>>> to > > > >>>>>>>>>> distributed storage and computation solutions. Users > will > > > >>>>> often find > > > >>>>>>>> that > > > >>>>>>>>>> Superset can act as a catalyst for tooling that can > > > >> visualize > > > >>>>> the > > > >>>>>>>>>> byproduct > > > >>>>>>>>>> of data and computation infrastructure. > > > >>>>>>>>>> > > > >>>>>>>>>> Superset has many key design elements that help fill a > gap > > > >> in > > > >>>>> current > > > >>>>>>>>>> solutions for organizations: > > > >>>>>>>>>> * Easy, low friction access to data through a simple, > > > >>>> web-based > > > >>>>> data > > > >>>>>>>>>> exploration interface. Composing charts and dashboards > > are > > > >>>>> intuitive. > > > >>>>>>>>>> Eliminating the need to write code or SQL empowers > anyone > > > >> to > > > >>>>> use it. > > > >>>>>>>>>> * Access to a wide array of rich, interactive data > > > >>>>> visualization types. > > > >>>>>>>>>> * Enterprise-ready: Integration with different > > > >> authentication > > > >>>>>>>> mechanisms > > > >>>>>>>>>> and granular permissions centered around actions and > data > > > >>>>> access. > > > >>>>>>>>>> * Realtime & fast: Superset provides realtime analytics > at > > > >> the > > > >>>>> speed of > > > >>>>>>>>>> thought on very large datasets when integrated with > > > >> Druid.io. > > > >>>>>>>>>> * Broad data access: Consume data out of any > SQL-speaking > > > >>>>> relational > > > >>>>>>>>>> database. > > > >>>>>>>>>> * Extensible: Can be extended to talk to many noSQL > > > >> databases > > > >>>>> like > > > >>>>>>>> Apache > > > >>>>>>>>>> Drill, Elastic Search, and other popular database > engines. > > > >>>>>>>>>> * Fast loading dashboards with configurable web-scale > > > >> caching. > > > >>>>>>>>>> * Plug-in framework that enables organizations to build > > > >> custom > > > >>>>>>>> analytical > > > >>>>>>>>>> applications with new UI/UX interfaces. > > > >>>>>>>>>> * SQL Lab, a state-of-the-art SQL IDE that empowers > > > >>>>> SQL-speaking users > > > >>>>>>>>>> with more flexibility. SQL Lab integrates with the > > > >>>>> visualization engine > > > >>>>>>>>>> seamlessly. > > > >>>>>>>>>> > > > >>>>>>>>>> == Initial Goals == > > > >>>>>>>>>> The initial goals of the Superset project are > > several-fold: > > > >>>>>>>>>> * Move the existing codebase to Apache and integrate > with > > > >> the > > > >>>>> Apache > > > >>>>>>>>>> development process. > > > >>>>>>>>>> * Redesign the user interface and interaction model for > > > >>>> creating > > > >>>>>>>>>> visualizations/dashboards and connecting to data sources > > > >>>>>>>>>> * Build robust support for security and governance of > the > > > >> tool > > > >>>>>>>> including > > > >>>>>>>>>> popular authorization modules (including Apache Ranger > and > > > >>>>> Apache > > > >>>>>>>> Sentry) > > > >>>>>>>>>> and a more sophisticated permissions system > > > >>>>>>>>>> * Grow the extensibility of the project both in terms of > > > >>>>> enhanced > > > >>>>>>>>>> connectivity to NoSQL-based data sources and creating a > > > >>>> plug-in > > > >>>>>>>> framework > > > >>>>>>>>>> that enables organizations to build custom analytical > > > >>>>> applications which > > > >>>>>>>>>> require a new UI/UX > > > >>>>>>>>>> > > > >>>>>>>>>> == Current Status == > > > >>>>>>>>>> By many standards, Superset is already a successful open > > > >>>> source > > > >>>>> project. > > > >>>>>>>>>> As > > > >>>>>>>>>> of March 2017, Superset is officially used in production > > at > > > >>>>> about a > > > >>>>>>>> dozen > > > >>>>>>>>>> companies, has received contributions from over one > > hundred > > > >>>>> contributors > > > >>>>>>>>>> on > > > >>>>>>>>>> Github, 1500+ forks, and 12k+ stars. > > > >>>>>>>>>> > > > >>>>>>>>>> Sizeable companies like Airbnb, Yahoo! and Hortonworks > > have > > > >>>> made > > > >>>>>>>>>> significant contributions, and expressed their > commitment > > > >> to > > > >>>> the > > > >>>>>>>> project. > > > >>>>>>>>>> The product is feature complete and has been viable for > > > >>>> months. > > > >>>>> It > > > >>>>>>>> already > > > >>>>>>>>>> serves as the main interface for consuming data at many > > > >>>>> companies of > > > >>>>>>>>>> different sizes. > > > >>>>>>>>>> > > > >>>>>>>>>> While the product is usable, there’s room for > improvement > > > >>>>> across the > > > >>>>>>>>>> board, > > > >>>>>>>>>> starting with providing a smoother user experience > around > > > >>>>> content > > > >>>>>>>>>> creation, > > > >>>>>>>>>> making sure all features work out-of-the-box on more > > > >> platforms > > > >>>>> and > > > >>>>>>>>>> databases, providing better user training guides and > > > >> videos, > > > >>>>> having a > > > >>>>>>>>>> predictable release process, and increasing the overall > > > >>>> quality > > > >>>>> of the > > > >>>>>>>>>> Superset releases. > > > >>>>>>>>>> > > > >>>>>>>>>> === Meritocracy === > > > >>>>>>>>>> We plan to invest in supporting a meritocracy. We will > > > >> discuss > > > >>>>> the > > > >>>>>>>>>> requirements in an open forum. Several companies have > > > >>>> expressed > > > >>>>> interest > > > >>>>>>>>>> in > > > >>>>>>>>>> this project, and we intend to invite additional > > > >> developers to > > > >>>>>>>>>> participate. > > > >>>>>>>>>> We will encourage and monitor community participation so > > > >> that > > > >>>>> privileges > > > >>>>>>>>>> can be extended to those that contribute. > > > >>>>>>>>>> > > > >>>>>>>>>> === Community === > > > >>>>>>>>>> The need for an enterprise-ready data visualization and > > > >>>>> exploration > > > >>>>>>>>>> platform in the open source community is tremendous. > > While > > > >>>>> Superset is > > > >>>>>>>>>> fairly well known, recognized and used within the > Druid.io > > > >>>>> community, > > > >>>>>>>>>> adoption is currently limited outside of that niche. > There > > > >> is > > > >>>> a > > > >>>>> huge > > > >>>>>>>>>> opportunity to grow the community to hundreds if not > > > >> thousands > > > >>>>> of > > > >>>>>>>>>> organizations, and we are hoping that embracing “the > > Apache > > > >>>>> way” will > > > >>>>>>>>>> accelerate the growth of our community. > > > >>>>>>>>>> > > > >>>>>>>>>> We have already been active at seeking and inviting > > > >>>>> contributions, and > > > >>>>>>>> are > > > >>>>>>>>>> planning to scale the project by investing time and > > growing > > > >>>> the > > > >>>>> support > > > >>>>>>>>>> structure to grow the community. > > > >>>>>>>>>> > > > >>>>>>>>>> === Core Developers === > > > >>>>>>>>>> The initial committers for Superset include experienced > > > >> full > > > >>>>> stack, > > > >>>>>>>>>> front-end and data engineers: > > > >>>>>>>>>> * Maxime Beauchemin (Airbnb) > > > >>>>>>>>>> * Alanna Scott (Airbnb) > > > >>>>>>>>>> * Bogdan Kyryliuk (Airbnb) > > > >>>>>>>>>> * Vera Liu (Airbnb) > > > >>>>>>>>>> * Jeff Feng (Airbnb) > > > >>>>>>>>>> * Ashutosh Chauhan (Hortonworks) > > > >>>>>>>>>> * Nishant Bangarwa (Hortonworks) > > > >>>>>>>>>> * Slim Bouguerra (Hortonworks) > > > >>>>>>>>>> * Priyank Shah (Hortonworks) > > > >>>>>>>>>> * Sriharsha Chintalapani (Hortonworks) > > > >>>>>>>>>> * Daniel Dai (Hortonworks) > > > >>>>>>>>>> > > > >>>>>>>>>> We realize that additional employer diversity is needed, > > > >> and > > > >>>> we > > > >>>>> will > > > >>>>>>>> work > > > >>>>>>>>>> aggressively to recruit developers from additional > > > >> companies. > > > >>>>>>>>>> > > > >>>>>>>>>> === Alignment === > > > >>>>>>>>>> The initial committers strongly believe that a system > for > > > >>>>> interactive > > > >>>>>>>>>> visualization of data will gain broader adoption as an > > open > > > >>>>> source, > > > >>>>>>>>>> community driven project, where the community can > > > >> contribute > > > >>>>> not only to > > > >>>>>>>>>> the core components, but also to a growing collection of > > > >>>>> connectors, > > > >>>>>>>>>> visualizations and improving integration a all potential > > > >> data > > > >>>>> sources. > > > >>>>>>>>>> Superset already integrates closely with Apache Hive, > the > > > >> Hive > > > >>>>>>>> metastore, > > > >>>>>>>>>> as well as most SQL-speaking databases found in modern > > data > > > >>>>> ecosystems. > > > >>>>>>>>>> > > > >>>>>>>>>> == Known Risks == > > > >>>>>>>>>> > > > >>>>>>>>>> === Orphaned Products === > > > >>>>>>>>>> Superset is a vital component for both visualizing, > > > >> accessing > > > >>>>> and > > > >>>>>>>>>> democratizing data at Airbnb. Also at Hortonworks, > > > >> Superset > > > >>>> is > > > >>>>> a core > > > >>>>>>>>>> component of the DataFlow product offering. Thus, the > > > >> risk of > > > >>>>> the > > > >>>>>>>> project > > > >>>>>>>>>> being orphaned is relatively low. The project could be > at > > > >>>> risk > > > >>>>> if > > > >>>>>>>> Airbnb > > > >>>>>>>>>> changes their approach for democratizing data or if > > > >>>> Hortonworks > > > >>>>> changes > > > >>>>>>>>>> their strategy in the market. In such an event, the > > > >>>> committers > > > >>>>> plan to > > > >>>>>>>>>> continue working on the project on their own time, > thought > > > >> the > > > >>>>> progress > > > >>>>>>>>>> will likely be slower. We plan to mitigate this risk by > > > >>>>> recruiting > > > >>>>>>>>>> additional committers. > > > >>>>>>>>>> > > > >>>>>>>>>> === Inexperience with Open Source === > > > >>>>>>>>>> The initial committers include veteran Apache members > > > >>>>> (committers and > > > >>>>>>>> PPMC > > > >>>>>>>>>> members) and other developers who have varying degrees > of > > > >>>>> experience > > > >>>>>>>> with > > > >>>>>>>>>> open source projects. All have been involved with source > > > >> code > > > >>>>> that has > > > >>>>>>>>>> been > > > >>>>>>>>>> released under an open source license, and several also > > > >> have > > > >>>>> experience > > > >>>>>>>>>> developing code with an open source development process. > > > >>>>>>>>>> > > > >>>>>>>>>> === Homogenous Developers === > > > >>>>>>>>>> The initial committers are employed by Airbnb Inc. and > > > >>>>> Hortonworks. We > > > >>>>>>>> are > > > >>>>>>>>>> committed to recruiting additional committers from other > > > >>>>> companies. > > > >>>>>>>>>> > > > >>>>>>>>>> === Reliance on Salaried Developers === > > > >>>>>>>>>> It is expected that Superset development will occur on > > both > > > >>>>> salaried > > > >>>>>>>> time > > > >>>>>>>>>> and on volunteer time, after hours. The majority of > > initial > > > >>>>> committers > > > >>>>>>>> are > > > >>>>>>>>>> paid by their employer to contribute to this project. > > > >> However, > > > >>>>> they are > > > >>>>>>>>>> all > > > >>>>>>>>>> passionate about the project, and we are confident that > > the > > > >>>>> project will > > > >>>>>>>>>> continue even if no salaried developers contribute to > the > > > >>>>> project. We > > > >>>>>>>> are > > > >>>>>>>>>> committed to recruiting additional committers including > > > >>>>> non-salaried > > > >>>>>>>>>> developers. > > > >>>>>>>>>> > > > >>>>>>>>>> === Relationships with Other Apache Products === > > > >>>>>>>>>> To the knowledge of the Initial Committers, there are no > > > >>>> direct > > > >>>>>>>>>> competitors > > > >>>>>>>>>> to Superset within the Apache Software Foundation. That > > > >> said, > > > >>>>> Apache > > > >>>>>>>>>> Zeppelin is an indirect competitor, but it solves a > > > >> different > > > >>>>> use case. > > > >>>>>>>>>> > > > >>>>>>>>>> Apache Zeppelin is a web-based notebook that enables > > > >>>>> interactive data > > > >>>>>>>>>> analytics. It enables the creation of beautiful > > > >> data-driven, > > > >>>>> interactive > > > >>>>>>>>>> and collaborative documents with SQL, Scala and more. > > > >>>> Although > > > >>>>> a user > > > >>>>>>>> can > > > >>>>>>>>>> create data visualizations using this project, it > > > >> leverages a > > > >>>>> notebook > > > >>>>>>>>>> style user interfaces and it is geared towards the Spark > > > >>>>> community where > > > >>>>>>>>>> Scala and SQL co-exist > > > >>>>>>>>>> > > > >>>>>>>>>> We look forward to collaborating with those communities, > > as > > > >>>>> well as > > > >>>>>>>> other > > > >>>>>>>>>> Apache communities. > > > >>>>>>>>>> > > > >>>>>>>>>> === An Excessive Fascination with the Apache Brand === > > > >>>>>>>>>> Superset is solving two huge challenges: > > > >>>>>>>>>> The challenge of enabling every knowledge worker to make > > > >> data > > > >>>>> informed > > > >>>>>>>>>> decisions, particularly those who are not deeply skilled > > at > > > >>>>> writing SQL. > > > >>>>>>>>>> The challenge of visualizing huge amounts of data > > > >>>> interactively > > > >>>>> and in > > > >>>>>>>>>> real-time > > > >>>>>>>>>> > > > >>>>>>>>>> Superset was first developed as a data visualization > > > >> solution > > > >>>>> for > > > >>>>>>>> Druid.io > > > >>>>>>>>>> as a way to visualize billions of rows of data. Since > > > >> then, > > > >>>>> usage of > > > >>>>>>>>>> Superset has expanded to address data visualization use > > > >> cases > > > >>>>> across SQL > > > >>>>>>>>>> speaking data sources as well. > > > >>>>>>>>>> > > > >>>>>>>>>> Our rationale for developing Superset as an Apache > project > > > >> is > > > >>>>> detailed > > > >>>>>>>> in > > > >>>>>>>>>> the Rationale Section. We believe that the Apache brand > > > >> and > > > >>>>> community > > > >>>>>>>>>> process will help us attract more contributors to this > > > >>>> project, > > > >>>>> and help > > > >>>>>>>>>> grow the footprint of the project through usage at other > > > >>>>> organizations > > > >>>>>>>> and > > > >>>>>>>>>> within other applications. Establishing consensus among > > > >> users > > > >>>>> and > > > >>>>>>>>>> developers will result in a more valuable tool for > > > >> everyone. > > > >>>>>>>>>> > > > >>>>>>>>>> == Documentation == > > > >>>>>>>>>> References to further reading material: > > > >>>>>>>>>> * [[http://airbnb.io/superset/|Superset Documentation]] > > > >>>>>>>>>> * [[ > > > >>>>>>>>>> https://medium.com/airbnb-engi > > > >> neering/caravel-airbnb-s-data- > > > >>>>>>>>>> exploration-platform-15a72aa610e5#.npqmmbu25|Blog > > > >>>>>>>>>> Post: Superset: Airbnb’s Data Exploration Platform]] > > > >>>>>>>>>> * [[ > > > >>>>>>>>>> https://medium.com/airbnb-engi > > > >> neering/superset-scaling-data- > > > >>>>>>>>>> access-and-visual-insights-at-airbnb-3ce3e9b88a7f#. > > > >>>>> a505zvb1t|Blog > > > >>>>>>>>>> Post: Superset: Scaling Data Access & Visual Insights > at > > > >>>>> Airbnb]] > > > >>>>>>>>>> > > > >>>>>>>>>> == Initial Source == > > > >>>>>>>>>> The origin of the proposed code base can be found at > > > >>>>>>>>>> https://github.com/airbnb/superset. The code base is > > > >>>>> primarily in > > > >>>>>>>>>> Python. > > > >>>>>>>>>> > > > >>>>>>>>>> == Source and Intellectual Property Submission Plan == > > > >>>>>>>>>> We do not expect any complications for the submission of > > > >> the > > > >>>>> Superset > > > >>>>>>>> code > > > >>>>>>>>>> base. Our code is already in Github and there is only a > > > >>>> single > > > >>>>> code > > > >>>>>>>> base. > > > >>>>>>>>>> > > > >>>>>>>>>> == External Dependencies == > > > >>>>>>>>>> List of Python packages, from the Python Package Index > > > >> (Pypi): > > > >>>>>>>>>> > > > >>>>>>>>>> * boto3 > > > >>>>>>>>>> * celery > > > >>>>>>>>>> * cryptography > > > >>>>>>>>>> * flask-appbuilder > > > >>>>>>>>>> * flask-cache > > > >>>>>>>>>> * flask-migrate > > > >>>>>>>>>> * flask-script > > > >>>>>>>>>> * flask-sqlalchemy > > > >>>>>>>>>> * flask-testing > > > >>>>>>>>>> * humanize > > > >>>>>>>>>> * gunicorn > > > >>>>>>>>>> * markdown > > > >>>>>>>>>> * pandas > > > >>>>>>>>>> * parsedatetime > > > >>>>>>>>>> * pydruid > > > >>>>>>>>>> * PyHive > > > >>>>>>>>>> * python-dateutil > > > >>>>>>>>>> * requests > > > >>>>>>>>>> * simplejson > > > >>>>>>>>>> * six > > > >>>>>>>>>> * sqlalchemy > > > >>>>>>>>>> * sqlalchemy-utils > > > >>>>>>>>>> * sqlparse > > > >>>>>>>>>> * thrift > > > >>>>>>>>>> * thrift-sasl > > > >>>>>>>>>> * werkzeug > > > >>>>>>>>>> > > > >>>>>>>>>> List of Javascript packages, from NPM: > > > >>>>>>>>>> * autobind-decorator > > > >>>>>>>>>> * bootstrap > > > >>>>>>>>>> * bootstrap-datepicker > > > >>>>>>>>>> * brace > > > >>>>>>>>>> * brfs > > > >>>>>>>>>> * cal-heatmap > > > >>>>>>>>>> * classnames > > > >>>>>>>>>> * d3 > > > >>>>>>>>>> * d3-cloud > > > >>>>>>>>>> * d3-sankey > > > >>>>>>>>>> * d3-scale > > > >>>>>>>>>> * d3-tip > > > >>>>>>>>>> * datamaps > > > >>>>>>>>>> * datatables-bootstrap3-plugin > > > >>>>>>>>>> * datatables.net-bs > > > >>>>>>>>>> * font-awesome > > > >>>>>>>>>> * gridster > > > >>>>>>>>>> * immutability-helper > > > >>>>>>>>>> * immutable > > > >>>>>>>>>> * jquery > > > >>>>>>>>>> * lodash.throttle > > > >>>>>>>>>> * mapbox-gl > > > >>>>>>>>>> * moment > > > >>>>>>>>>> * moments > > > >>>>>>>>>> * mustache > > > >>>>>>>>>> * nvd3 > > > >>>>>>>>>> * react > > > >>>>>>>>>> * react-ace > > > >>>>>>>>>> * react-bootstrap > > > >>>>>>>>>> * react-bootstrap-table > > > >>>>>>>>>> * react-dom > > > >>>>>>>>>> * react-draggable > > > >>>>>>>>>> * react-gravatar > > > >>>>>>>>>> * react-grid-layout > > > >>>>>>>>>> * react-map-gl > > > >>>>>>>>>> * react-redux > > > >>>>>>>>>> * react-resizable > > > >>>>>>>>>> * react-select > > > >>>>>>>>>> * react-syntax-highlighter > > > >>>>>>>>>> * reactable > > > >>>>>>>>>> * redux > > > >>>>>>>>>> * redux-localstorage > > > >>>>>>>>>> * redux-thunk > > > >>>>>>>>>> * shortid > > > >>>>>>>>>> * style-loader > > > >>>>>>>>>> * supercluster > > > >>>>>>>>>> * topojson > > > >>>>>>>>>> * victory > > > >>>>>>>>>> * viewport-mercator-project > > > >>>>>>>>>> > > > >>>>>>>>>> == Cryptography == > > > >>>>>>>>>> The proposal does not include cryptographic code. > > > >>>>>>>>>> > > > >>>>>>>>>> == Required Resources == > > > >>>>>>>>>> > > > >>>>>>>>>> === Mailing List === > > > >>>>>>>>>> There is a current mailing list as a Google Group > > > >>>>> “airbnb_superset” that > > > >>>>>>>>>> we > > > >>>>>>>>>> are planning on deprecating as the Apache.org become > ready > > > >> to > > > >>>>> serve our > > > >>>>>>>>>> community. > > > >>>>>>>>>> > > > >>>>>>>>>> * superset-private > > > >>>>>>>>>> * superset-dev > > > >>>>>>>>>> * superset-user > > > >>>>>>>>>> > > > >>>>>>>>>> === Subversion Directory === > > > >>>>>>>>>> Git is the preferred source control system. > > > >>>>>>>>>> http://svn.apache.org/repos/asf/incubator/superset > > > >>>>>>>>>> > > > >>>>>>>>>> == Git Repository == > > > >>>>>>>>>> Git is the preferred source control system, we’re > assuming > > > >>>>>>>>>> https://github.com/apache/incubator-superset based on > the > > > >>>>> naming scheme > > > >>>>>>>>>> > > > >>>>>>>>>> == Issue Tracking == > > > >>>>>>>>>> JIRA Superset (SUPERSET). If possible, we’d like to use > > > >> Github > > > >>>>> issues & > > > >>>>>>>>>> PRs > > > >>>>>>>>>> to manage our project as much as possible. It’s been > said > > > >> that > > > >>>>> there are > > > >>>>>>>>>> ways to keep Github’s issues in sync with Jira, allowing > > > >> us to > > > >>>>> get best > > > >>>>>>>> of > > > >>>>>>>>>> both worlds. If that is not possible, we will comply to > > > >> using > > > >>>>> Jira. > > > >>>>>>>>>> > > > >>>>>>>>>> == Other Resources == > > > >>>>>>>>>> We currently use a set of Github integrated services > that > > > >> are > > > >>>>> free to > > > >>>>>>>> the > > > >>>>>>>>>> open source community, like Travis-ci, Code Climate, > > > >>>> Coveralls, > > > >>>>>>>>>> Landscape.io, Requires.io, david-dm and Gitter. We would > > > >> like > > > >>>>> to keep > > > >>>>>>>>>> using > > > >>>>>>>>>> these services as they allow us to scale contributions > and > > > >>>>> optimize our > > > >>>>>>>>>> development flows. These services require some elevated > > > >> rights > > > >>>>> on the > > > >>>>>>>>>> Github repository in order to set up or tune and we > would > > > >> like > > > >>>>> for the > > > >>>>>>>>>> committers to have the required rights. > > > >>>>>>>>>> > > > >>>>>>>>>> > > > >>>>>>>>>> == Initial Committers == > > > >>>>>>>>>> > > > >>>>>>>>>> * Maxime Beauchemin <maxime.beauche...@airbnb.com> - > PPMC > > > >> & > > > >>>>> Committer > > > >>>>>>>>>> * Alanna Scott <alanna.sc...@airbnb.com> - PPMC & > > > >> Committer > > > >>>>>>>>>> * Bogdan Kyryliuk <b.kyryl...@gmail.com> - PPMC & > > > >> Committer > > > >>>>>>>>>> * Vera Liu <vera....@airbnb.com> - Committer > > > >>>>>>>>>> * Jeff Feng <jeff.f...@airbnb.com> - PPMC & Committer > > > >>>>>>>>>> * Ashutosh Chauhan <hashut...@apache.org> - Mentor & > > > >>>> Committer > > > >>>>>>>>>> * Nishant Bangarwa <nbanga...@hortonworks.com> - PPMC & > > > >>>>> Committer > > > >>>>>>>>>> * Slim Bouguerra <sbougue...@hortonworks.com> - > Committer > > > >>>>>>>>>> * Priyank Shah <ps...@hortonworks.com> - Committer > > > >>>>>>>>>> * Harsha Chintalapani <schintalap...@hortonworks.com> - > > > >>>>> Committer > > > >>>>>>>>>> * Daniel Dai <da...@apache.org> - Champion & Committer > > > >>>>>>>>>> * Luke Han <luke....@apache.org> - Mentor > > > >>>>>>>>>> > > > >>>>>>>>>> == Affiliations == > > > >>>>>>>>>> The initial committers are employees of Airbnb Inc. and > > > >>>>> Hortonworks. > > > >>>>>>>>>> > > > >>>>>>>>>> == Sponsors == > > > >>>>>>>>>> > > > >>>>>>>>>> === Champion === > > > >>>>>>>>>> Daniel Dai <da...@apache.org> > > > >>>>>>>>>> > > > >>>>>>>>>> === Nominated Mentors === > > > >>>>>>>>>> * Ashutosh Chauhan <hashut...@apache.org> > > > >>>>>>>>>> * Luke Han <luke....@apache.org> > > > >>>>>>>>>> > > > >>>>>>>>>> === Sponsoring Entity === > > > >>>>>>>>>> Incubator PMC > > > >>>>>>>>>> > > > >>>>>>>>> > > > >>>>>>>>> > > > >>>>>>>> > > > >>>>>> > > > >>>>>> > > > >>>>>> ------------------------------ > > ------------------------------ > > > >>>>> --------- > > > >>>>>> 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-h...@incubator.apache.org > > > >>>>> > > > >>>>> > > > >>>> > > > >> > > > >> > > > >> > > > >> -- > > > >> Best Regards, Edward J. Yoon > > > >> > > > >> ------------------------------------------------------------ > > --------- > > > >> To unsubscribe, e-mail: general-unsubscribe@incubator. > apache.org > > > >> For additional commands, e-mail: general-help@incubator.apache. > > org > > > >> > > > >> > > > > > > > > > > > > ------------------------------------------------------------ > > --------- > > > 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 > > > -- Julien
