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From Jeff Feng <jeff.f...@gmail.com>
Subject Re: [PROPOSAL] Superset Proposal for Apache Incubator
Date Tue, 25 Apr 2017 07:17:03 GMT
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
> > >
> >
>

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