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From "Edward J. Yoon" <edwardy...@apache.org>
Subject Re: [VOTE] Superset Proposal for Apache Incubator
Date Thu, 27 Apr 2017 01:31:35 GMT
+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-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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>> >
>> >
>>



-- 
Best Regards, Edward J. Yoon

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