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From Julian Hyde <jh...@apache.org>
Subject Re: [PROPOSAL] Superset Proposal for Apache Incubator
Date Sat, 15 Apr 2017 00:45:50 GMT
My mentoring cycles are all spoken for, but Superset is a great project and I look forward
to it becoming part of Apache. Good luck, and I look forward to voting on your release candidates!

Julian

> On Apr 13, 2017, at 6:48 PM, Luke Han <luke.hq@gmail.com> wrote:
> 
> 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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>>> 
>> 
>> 
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