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From Jitendra Pandey <jiten...@hortonworks.com>
Subject Re: [VOTE] Superset Proposal for Apache Incubator
Date Thu, 27 Apr 2017 20:35:34 GMT
Re-affirming. +1 (binding)

On 4/27/17, 1:24 PM, "Ashutosh Chauhan" <ashutosh.chauhan@gmail.com> wrote:

    Re-affirming my vote as well:
    
    +1 (binding)
    
    On Thu, Apr 27, 2017 at 10:45 AM, Julian Hyde <jhyde@apache.org> wrote:
    
    > Re-affriming my vote:
    >
    > +1 (binding)
    >
    > > On Apr 26, 2017, at 11:12 PM, Jeff Feng <jeff.feng@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.beauchemin@airbnb.com> - PPMC & Committer
    > > * Alanna Scott <alanna.scott@airbnb.com> - PPMC & Committer
    > > * Bogdan Kyryliuk <b.kyryliuk@gmail.com> - PPMC & Committer
    > > * Vera Liu <vera.liu@airbnb.com> - Committer
    > > * Jeff Feng <jeff.feng@airbnb.com> - PPMC & Committer
    > > * Ashutosh Chauhan <hashutosh@apache.org> - Mentor & Committer
    > > * Nishant Bangarwa <nbangarwa@hortonworks.com> - PPMC & Committer
    > > * Slim Bouguerra <sbouguerra@hortonworks.com> - Committer
    > > * Priyank Shah <pshah@hortonworks.com> - Committer
    > > * Harsha Chintalapani <schintalapani@hortonworks.com> - Committer
    > > * Daniel Dai <daijy@apache.org> - Champion & Committer
    > > * Luke Han <luke.han@apache.org> - Mentor
    > >
    > > == Affiliations ==
    > > The initial committers are employees of Airbnb Inc. and Hortonworks.
    > >
    > > == Sponsors ==
    > >
    > > === Champion ===
    > > Daniel Dai <daijy@apache.org>
    > >
    > > === Nominated Mentors ===
    > > * Ashutosh Chauhan <hashutosh@apache.org>
    > > * Luke Han <luke.han@apache.org>
    > >
    > > === Sponsoring Entity ===
    > > Incubator PMC
    > >
    > >
    > >
    > >
    > >
    > > On Wed, Apr 26, 2017 at 6:31 PM, Edward J. Yoon <edwardyoon@apache.org>
    > > wrote:
    > >
    > >> +1 binding
    > >>
    > >> On Thu, Apr 27, 2017 at 10:29 AM, Naresh Agarwal
    > >> <naresh.agarwal@gmail.com> wrote:
    > >>> +1 (non-binding).
    > >>>
    > >>> Thanks
    > >>> Naresh Agarwal
    > >>>
    > >>> On Thu, Apr 27, 2017 at 5:06 AM, Ted Dunning <ted.dunning@gmail.com>
    > >> wrote:
    > >>>
    > >>>> +1 (binding)
    > >>>>
    > >>>>
    > >>>>
    > >>>> On Tue, Apr 25, 2017 at 1:58 PM, Joe Witt <joe.witt@gmail.com> wrote:
    > >>>>
    > >>>>> +1 (binding)
    > >>>>>
    > >>>>> On Tue, Apr 25, 2017 at 4:52 PM, Jitendra Pandey
    > >>>>> <jitendra@hortonworks.com> wrote:
    > >>>>>> +1 (binding)
    > >>>>>>
    > >>>>>> On 4/25/17, 1:27 PM, "Julian Hyde" <jhyde@apache.org> wrote:
    > >>>>>>
    > >>>>>>    +1 binding
    > >>>>>>
    > >>>>>>> On Apr 25, 2017, at 12:48 PM, moon soo Lee <moon@apache.org>
    > >>>>> wrote:
    > >>>>>>>
    > >>>>>>> +1 (non-binding)
    > >>>>>>>
    > >>>>>>> On Tue, Apr 25, 2017 at 11:49 AM Ashutosh Chauhan <
    > >>>>> hashutosh@apache.org>
    > >>>>>>> wrote:
    > >>>>>>>
    > >>>>>>>> +1 (binding)
    > >>>>>>>>
    > >>>>>>>> Thanks,
    > >>>>>>>> Ashutosh
    > >>>>>>>>
    > >>>>>>>> On Mon, Apr 24, 2017 at 5:45 AM, Luke Han <luke.hq@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.feng@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.han@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.beauchemin@airbnb.com> - PPMC
    > >> &
    > >>>>> Committer
    > >>>>>>>>>> * Alanna Scott <alanna.scott@airbnb.com> - PPMC &
    > >> Committer
    > >>>>>>>>>> * Bogdan Kyryliuk <b.kyryliuk@gmail.com> - PPMC &
    > >> Committer
    > >>>>>>>>>> * Vera Liu <vera.liu@airbnb.com> - Committer
    > >>>>>>>>>> * Jeff Feng <jeff.feng@airbnb.com> - PPMC & Committer
    > >>>>>>>>>> * Ashutosh Chauhan <hashutosh@apache.org> - Mentor &
    > >>>> Committer
    > >>>>>>>>>> * Nishant Bangarwa <nbangarwa@hortonworks.com> - PPMC &
    > >>>>> Committer
    > >>>>>>>>>> * Slim Bouguerra <sbouguerra@hortonworks.com> - Committer
    > >>>>>>>>>> * Priyank Shah <pshah@hortonworks.com> - Committer
    > >>>>>>>>>> * Harsha Chintalapani <schintalapani@hortonworks.com> -
    > >>>>> Committer
    > >>>>>>>>>> * Daniel Dai <daijy@apache.org> - Champion & Committer
    > >>>>>>>>>> * Luke Han <luke.han@apache.org> - Mentor
    > >>>>>>>>>>
    > >>>>>>>>>> == Affiliations ==
    > >>>>>>>>>> The initial committers are employees of Airbnb Inc. and
    > >>>>> Hortonworks.
    > >>>>>>>>>>
    > >>>>>>>>>> == Sponsors ==
    > >>>>>>>>>>
    > >>>>>>>>>> === Champion ===
    > >>>>>>>>>> Daniel Dai <daijy@apache.org>
    > >>>>>>>>>>
    > >>>>>>>>>> === Nominated Mentors ===
    > >>>>>>>>>> * Ashutosh Chauhan <hashutosh@apache.org>
    > >>>>>>>>>> * Luke Han <luke.han@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-help@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-unsubscribe@incubator.apache.org
    > For additional commands, e-mail: general-help@incubator.apache.org
    >
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