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From Naresh Agarwal <naresh.agar...@gmail.com>
Subject Re: [VOTE] Superset Proposal for Apache Incubator
Date Thu, 27 Apr 2017 01:29:40 GMT
+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-engineering/caravel-airbnb-s-data-
> > >     >>>> exploration-platform-15a72aa610e5#.npqmmbu25|Blog
> > >     >>>> Post:  Superset: Airbnb’s Data Exploration Platform]]
> > >     >>>> * [[
> > >     >>>> https://medium.com/airbnb-engineering/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
> > >     >>>>
> > >     >>>
> > >     >>>
> > >     >>
> > >
> > >
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> >
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