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From Luke Han <luke...@gmail.com>
Subject Re: [PROPOSAL] Superset Proposal for Apache Incubator
Date Fri, 14 Apr 2017 01:48:05 GMT
Happy to help too.


Best Regards!
---------------------

Luke Han

On Fri, Apr 14, 2017 at 1:17 AM, Debo Dutta (dedutta) <dedutta@cisco.com>
wrote:

> happy to help
>
> debo
>
> On 4/13/17, 9:59 AM, "Maxime Beauchemin" <maximebeauchemin@gmail.com>
> wrote:
>
>     Hi Jean-Baptiste,
>
>     We are indeed looking for more mentors.
>
>     Should I update the wiki and replace all references to PMC by PPMC?
>
>     Thanks,
>
>     Max
>
>     On Wed, Apr 12, 2017 at 12:51 PM, Jean-Baptiste Onofré <
> jb@nanthrax.net>
>     wrote:
>
>     > Hi Maxime,
>     >
>     > The proposal looks interesting.
>     >
>     > Just a note,  it's PPMC (not PMC) during incubation.
>     >
>     > Are you seeking for other mentor (I see you only have one mentor and
> one
>     > champion for now) ?
>     >
>     > Regards
>     > JB
>     >
>     >
>     > On 04/12/2017 09:41 PM, Maxime Beauchemin wrote:
>     >
>     >> Hi all,
>     >>
>     >> We would love feedback on the proposal. Do the veterans on this
> mailing
>     >> list think that the proposal is ready for a vote!?
>     >>
>     >> Thanks,
>     >>
>     >> Max
>     >>
>     >> On Tue, Apr 4, 2017 at 5:26 PM, Luke Han <luke.hq@gmail.com> wrote:
>     >>
>     >> Hi Jeff,
>     >>>     This is great project which have been mentioned many times in
>     >>> community. It looks cool and fun for data works.
>     >>>
>     >>>     Thanks to proposal Superset to be Apache Incubator Project,
> please
>     >>> let
>     >>> me know if there's anything I could help.
>     >>>
>     >>>     Thanks.
>     >>> Luke
>     >>>
>     >>>
>     >>> Best Regards!
>     >>> ---------------------
>     >>>
>     >>> Luke Han
>     >>>
>     >>> On Sun, Apr 2, 2017 at 7:45 AM, Jeff Feng
> <jeff.feng@airbnb.com.invalid>
>     >>> wrote:
>     >>>
>     >>> Dear Apache Incubator Community,
>     >>>>
>     >>>> We are excited to share our proposal for discussion and feedback
> for
>     >>>> entering Apache Incubation.  Superset is an enterprise-ready web
>     >>>> application for data exploration, data visualization and
> dashboarding.
>     >>>>
>     >>>> Our Incubation proposal is at the following Wiki as well as
> copied in
>     >>>> the
>     >>>> email below:
>     >>>>
>     >>>> https://wiki.apache.org/incubator/SupersetProposal
>     >>>>
>     >>>> We have an active Superset community including 400+ members and
> nearly
>     >>>>
>     >>> 200
>     >>>
>     >>>> topics.  The Google Group can be found below.  We plan to move the
>     >>>> discussion to the ASF:
>     >>>>
>     >>>> https://groups.google.com/forum/#!forum/airbnb_superset
>     >>>>
>     >>>> Thank you and look forward to the discussion!
>     >>>>
>     >>>> Jeff, Max & Alanna
>     >>>>
>     >>>>
>     >>>>
>     >>>>
>     >>>> = 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
>     >>>> PMC
>     >>>> 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 ==
>     >>>>
>     >>>> 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> - PMC &
> Committer
>     >>>>
>     >>>> * Alanna Scott <alanna.scott@airbnb.com> - PMC & Committer
>     >>>>
>     >>>> * Bogdan Kyryliuk <b.kyryliuk@gmail.com> - PMC & Committer
>     >>>>
>     >>>> * Vera Liu <vera.liu@airbnb.com> - Committer
>     >>>>
>     >>>> * Jeff Feng <jeff.feng@airbnb.com> - PMC & Committer
>     >>>>
>     >>>> * Ashutosh Chauhan <hashutosh@apache.org> - Mentor & Committer
>     >>>>
>     >>>> * Nishant Bangarwa <nbangarwa@hortonworks.com> - PMC &
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
>     >>>>
>     >>>> == 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>
>     >>>>
>     >>>> === Sponsoring Entity ===
>     >>>>
>     >>>> Incubator PMC
>     >>>>
>     >>>>
>     >>>> --
>     >>>>
>     >>>> *Jeff Feng*
>     >>>> Product Manager
>     >>>> m: (949)-610-5108 <(949)%20610-5108>
>     >>>> twitter: @jtfeng
>     >>>>
>     >>>>
>     >>>
>     >>
>     > --
>     > Jean-Baptiste Onofré
>     > jbonofre@apache.org
>     > http://blog.nanthrax.net
>     > Talend - http://www.talend.com
>     >
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