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From "Raphael Bircher" <rbircherapa...@gmail.com>
Subject Re: [PROPOSAL] Superset Proposal for Apache Incubator
Date Wed, 26 Apr 2017 13:37:03 GMT
Hi Max

I wonder how many of the developers are Airhub emploiees and how many work  
for Hortoonworks. In many proposal you have a list with the initial  
committers who reveals there affiliation.

Regards Raphael

Am .04.2017, 01:42 Uhr, schrieb Maxime Beauchemin  
<maximebeauchemin@gmail.com>:

> Hi Raphael, what kind of numbers are you expecting to see?
>
> Max
>
> On Tue, Apr 25, 2017 at 12:59 PM, Raphael Bircher  
> <rbircherapache@gmail.com>
> wrote:
>
>> Hi all
>>
>> There is no information about affiliation of the initial committers. The
>> only information is, that they are from Airbnb inc and Hortonworks. But
>> there are no numbers.
>>
>> Regards Raphael
>>
>>
>> Am .04.2017, 09:17 Uhr, schrieb Jeff Feng <jeff.feng@gmail.com>:
>>
>> Thanks John and Max - I have updated the proposal wiki to reflect this
>>> update.  It now reads:
>>>
>>> Source and Intellectual Property Submission Plan
>>>
>>> Airbnb will submit a Software Grant Agreement (SGA) as Superset joins  
>>> the
>>> incubator. We do not expect any complications for the submission of the
>>> Superset code base. Our code is already in Github and there is only a
>>> single code base.
>>>
>>>
>>> On Mon, Apr 24, 2017 at 11:32 PM, Maxime Beauchemin <
>>> maximebeauchemin@gmail.com> wrote:
>>>
>>> "Airbnb will submit a Software Grant Agreement (SGA) as Superset joins  
>>> the
>>>> incubator."
>>>>
>>>> Should I add this sentence in the proposal?
>>>>
>>>> Max
>>>>
>>>> On Mon, Apr 24, 2017 at 5:48 AM, John D. Ament <johndament@apache.org>
>>>> wrote:
>>>>
>>>> > I missed this discussion.  In your IP section, you list out:
>>>> >
>>>> > == 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.
>>>> >
>>>> > This IMHO not clear.  Does Airbnb plan to submit a SGA for  
>>>> Superset, or
>>>> > expect that no SGA is required because its Apache licensed?
>>>> >
>>>> > John
>>>> >
>>>> > On Sun, Apr 2, 2017 at 4:09 PM 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 <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> - 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> <(949)%20610-5108>
>>>> > > twitter: @jtfeng
>>>> > >
>>>> >
>>>>
>>>>
>>
>> --
>> My introduction https://youtu.be/Ln4vly5sxYU
>>
>>
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-- 
My introduction https://youtu.be/Ln4vly5sxYU

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