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From Jean-Baptiste Onofré ...@nanthrax.net>
Subject Re: [PROPOSAL] Superset Proposal for Apache Incubator
Date Thu, 13 Apr 2017 17:10:39 GMT
Not a big deal for PPMC vs PMC, just to let you know.

Thanks
Regards
JB

On 04/13/2017 06:59 PM, Maxime Beauchemin wrote:
> Hi Jean-Baptiste,
>
> We are indeed looking for more mentors.
>
> Should I update the wiki and replace all references to PMC by PPMC?
>
> Thanks,
>
> Max
>
> On Wed, Apr 12, 2017 at 12:51 PM, Jean-Baptiste Onofré <jb@nanthrax.net>
> wrote:
>
>> Hi Maxime,
>>
>> The proposal looks interesting.
>>
>> Just a note,  it's PPMC (not PMC) during incubation.
>>
>> Are you seeking for other mentor (I see you only have one mentor and one
>> champion for now) ?
>>
>> Regards
>> JB
>>
>>
>> On 04/12/2017 09:41 PM, Maxime Beauchemin wrote:
>>
>>> Hi all,
>>>
>>> We would love feedback on the proposal. Do the veterans on this mailing
>>> list think that the proposal is ready for a vote!?
>>>
>>> Thanks,
>>>
>>> Max
>>>
>>> On Tue, Apr 4, 2017 at 5:26 PM, Luke Han <luke.hq@gmail.com> wrote:
>>>
>>> Hi Jeff,
>>>>     This is great project which have been mentioned many times in
>>>> community. It looks cool and fun for data works.
>>>>
>>>>     Thanks to proposal Superset to be Apache Incubator Project, please
>>>> let
>>>> me know if there's anything I could help.
>>>>
>>>>     Thanks.
>>>> Luke
>>>>
>>>>
>>>> Best Regards!
>>>> ---------------------
>>>>
>>>> Luke Han
>>>>
>>>> On Sun, Apr 2, 2017 at 7:45 AM, Jeff Feng <jeff.feng@airbnb.com.invalid>
>>>> wrote:
>>>>
>>>> Dear Apache Incubator Community,
>>>>>
>>>>> We are excited to share our proposal for discussion and feedback for
>>>>> entering Apache Incubation.  Superset is an enterprise-ready web
>>>>> application for data exploration, data visualization and dashboarding.
>>>>>
>>>>> Our Incubation proposal is at the following Wiki as well as copied in
>>>>> the
>>>>> email below:
>>>>>
>>>>> https://wiki.apache.org/incubator/SupersetProposal
>>>>>
>>>>> We have an active Superset community including 400+ members and nearly
>>>>>
>>>> 200
>>>>
>>>>> topics.  The Google Group can be found below.  We plan to move the
>>>>> discussion to the ASF:
>>>>>
>>>>> https://groups.google.com/forum/#!forum/airbnb_superset
>>>>>
>>>>> Thank you and look forward to the discussion!
>>>>>
>>>>> Jeff, Max & Alanna
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> = Superset =
>>>>>
>>>>> == Abstract ==
>>>>>
>>>>> Superset is an enterprise-ready web application for data exploration,
>>>>>
>>>> data
>>>>
>>>>> visualization and dashboarding.
>>>>>
>>>>> == Proposal ==
>>>>>
>>>>> Superset is business intelligence (BI) software that helps modern
>>>>> organizations visualize and interact with their data. Superset enables
>>>>> users explore data from a variety of databases, assemble beautiful
>>>>> dashboards and share their findings.  Superset works neatly with all
>>>>>
>>>> modern
>>>>
>>>>> SQL-speaking databases, and integrates with Druid.io to provide
>>>>>
>>>> real-time,
>>>>
>>>>> interactive, blazing fast data access to large datasets.
>>>>>
>>>>> == Background ==
>>>>>
>>>>> Data is mission critical. To succeed in this era, organizations need
to
>>>>> provide low-friction, intuitive and interactive access to data. It is
>>>>> paramount for knowledge workers to be capable of answering their own
>>>>> questions by querying, exploring and visualizing data.
>>>>>
>>>>> The entire business intelligence industry has pivoted from a model of
>>>>> centralized top-down platforms driven by IT organizations to
>>>>> self-service
>>>>> analytics and agile workflows by any user.  This shift unblocks
>>>>>
>>>> centralized
>>>>
>>>>> service bottlenecks for creating data visualizations while also creating
>>>>>
>>>> an
>>>>
>>>>> environment that is iterative and fast-moving.  This means that business
>>>>> intelligence software must also be easy and delightful to use.
>>>>> Self-service analytics doesn’t mean that admin and governance features
>>>>>
>>>> are
>>>>
>>>>> not needed.
>>>>>
>>>>> Modern BI tools provide fine-grain access controls and auditing
>>>>> capabilities to understand how data is being used.  Superset is a
>>>>>
>>>> solution
>>>>
>>>>> that delivers on all of these vectors.
>>>>>
>>>>> The technology stack is also constantly morphing - vendors are
>>>>> struggling
>>>>> to provide cheap, quick and easy solutions to access data.  Business
>>>>> intelligence users are finding existing solutions lacking as these
>>>>>
>>>> software
>>>>
>>>>> products either disregard or react slowly to recent game-changing
>>>>> technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
>>>>> React.js and iPython’s Jupyter for instance.
>>>>>
>>>>> == Rationale ==
>>>>>
>>>>> Business intelligence is more relevant today than at any other point
in
>>>>> history.  Organizations are currently very limited in options for open
>>>>> source data visualization solutions, especially solutions that are both
>>>>> self-service and enterprise-ready.  Every company informing their
>>>>>
>>>> decisions
>>>>
>>>>> with data needs a BI tool.
>>>>>
>>>>> We believe that Superset will be a strong compliment to existing Apache
>>>>> Software Foundation technologies by offering scalable user interactions
>>>>>
>>>> to
>>>>
>>>>> distributed storage and computation solutions.  Users will often find
>>>>>
>>>> that
>>>>
>>>>> Superset can act as a catalyst for tooling that can visualize the
>>>>>
>>>> byproduct
>>>>
>>>>> of data and computation infrastructure.
>>>>>
>>>>> Superset has many key design elements that help fill a gap in current
>>>>> solutions for organizations:
>>>>>
>>>>> * Easy, low friction access to data through a simple, web-based data
>>>>> exploration interface.  Composing charts and dashboards are intuitive.
>>>>> Eliminating the need to write code or SQL empowers anyone to use it.
>>>>>
>>>>> * Access to a wide array of rich, interactive data visualization types.
>>>>>
>>>>> * Enterprise-ready: Integration with different authentication mechanisms
>>>>> and granular permissions centered around actions and data access.
>>>>>
>>>>> * Realtime & fast: Superset provides realtime analytics at the speed
of
>>>>> thought on very large datasets when integrated with Druid.io.
>>>>>
>>>>> * Broad data access: Consume data out of any SQL-speaking relational
>>>>> database.
>>>>>
>>>>> * Extensible: Can be extended to talk to many noSQL databases like
>>>>> Apache
>>>>> Drill, Elastic Search, and other popular database engines.
>>>>>
>>>>> * Fast loading dashboards with configurable web-scale caching.
>>>>>
>>>>> * Plug-in framework that enables organizations to build custom
>>>>> analytical
>>>>> applications with new UI/UX interfaces.
>>>>>
>>>>> * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking users
>>>>>
>>>> with
>>>>
>>>>> more flexibility.  SQL Lab integrates with the visualization engine
>>>>> seamlessly.
>>>>>
>>>>> == Initial Goals ==
>>>>>
>>>>> The initial goals of the Superset project are several-fold:
>>>>>
>>>>> Move the existing codebase to Apache and integrate with the Apache
>>>>> development process.
>>>>>
>>>>> Redesign the user interface and interaction model for creating
>>>>> visualizations/dashboards and connecting to data sources
>>>>>
>>>>> Build robust support for security and governance of the tool including
>>>>> popular authorization modules (including Apache Ranger and Apache
>>>>> Sentry)
>>>>> and a more sophisticated permissions system
>>>>>
>>>>> Grow the extensibility of the project both in terms of enhanced
>>>>> connectivity to NoSQL-based data sources and creating a plug-in
>>>>> framework
>>>>> that enables organizations to build custom analytical applications which
>>>>> require a new UI/UX
>>>>>
>>>>> == Current Status ==
>>>>>
>>>>> By many standards, Superset is already a successful open source project.
>>>>>
>>>> As
>>>>
>>>>> of March 2017, Superset is officially used in production at about a
>>>>> dozen
>>>>> companies, has received contributions from over one hundred contributors
>>>>>
>>>> on
>>>>
>>>>> Github, 1500+ forks, and 12k+ stars.
>>>>>
>>>>> Sizeable companies like Airbnb, Yahoo! and Hortonworks have made
>>>>> significant contributions, and expressed their commitment to the
>>>>> project.
>>>>> The product is feature complete and has been viable for months. It
>>>>>
>>>> already
>>>>
>>>>> serves as the main interface for consuming data at many companies of
>>>>> different sizes.
>>>>>
>>>>> While the product is usable, there’s room for improvement across the
>>>>>
>>>> board,
>>>>
>>>>> starting with providing a smoother user experience around content
>>>>>
>>>> creation,
>>>>
>>>>> making sure all features work out-of-the-box on more platforms and
>>>>> databases, providing better user training guides and videos, having a
>>>>> predictable release process, and increasing the overall quality of the
>>>>> Superset releases.
>>>>>
>>>>> === Meritocracy ===
>>>>>
>>>>> We plan to invest in supporting a meritocracy. We will discuss the
>>>>> requirements in an open forum. Several companies have expressed interest
>>>>>
>>>> in
>>>>
>>>>> this project, and we intend to invite additional developers to
>>>>>
>>>> participate.
>>>>
>>>>> We will encourage and monitor community participation so that privileges
>>>>> can be extended to those that contribute.
>>>>>
>>>>> === Community ===
>>>>>
>>>>> The need for an enterprise-ready data visualization and exploration
>>>>> platform in the open source community is tremendous.  While Superset
is
>>>>> fairly well known, recognized and used within the Druid.io community,
>>>>> adoption is currently limited outside of that niche. There is a huge
>>>>> opportunity to grow the community to hundreds if not thousands of
>>>>> organizations, and we are hoping that embracing “the Apache way”
will
>>>>> accelerate the growth of our community.
>>>>>
>>>>> We have already been active at seeking and inviting contributions, and
>>>>>
>>>> are
>>>>
>>>>> planning to scale the project by investing time and growing the support
>>>>> structure to grow the community.
>>>>>
>>>>> === Core Developers ===
>>>>>
>>>>> The initial committers for Superset include experienced full stack,
>>>>> front-end and data engineers:
>>>>>
>>>>> * Maxime Beauchemin (Airbnb)
>>>>>
>>>>> * Alanna Scott (Airbnb)
>>>>>
>>>>> * Bogdan Kyryliuk (Airbnb)
>>>>>
>>>>> * Vera Liu  (Airbnb)
>>>>>
>>>>> * Jeff Feng (Airbnb)
>>>>>
>>>>> * Ashutosh Chauhan (Hortonworks)
>>>>>
>>>>> * Nishant Bangarwa (Hortonworks)
>>>>>
>>>>> * Slim Bouguerra (Hortonworks)
>>>>>
>>>>> * Priyank Shah (Hortonworks)
>>>>>
>>>>> * Sriharsha Chintalapani (Hortonworks)
>>>>>
>>>>> * Daniel Dai (Hortonworks)
>>>>>
>>>>> We realize that additional employer diversity is needed, and we will
>>>>> work
>>>>> aggressively to recruit developers from additional companies.
>>>>>
>>>>> === Alignment ===
>>>>>
>>>>> The initial committers strongly believe that a system for interactive
>>>>> visualization of data will gain broader adoption as an open source,
>>>>> community driven project, where the community can contribute not only
to
>>>>> the core components, but also to a growing collection of connectors,
>>>>> visualizations and improving integration a all potential data sources.
>>>>> Superset already integrates closely with Apache Hive, the Hive
>>>>> metastore,
>>>>> as well as most SQL-speaking databases found in modern data ecosystems.
>>>>>
>>>>> == Known Risks ==
>>>>>
>>>>> === Orphaned Products ===
>>>>>
>>>>> Superset is a vital component for both visualizing, accessing and
>>>>> democratizing data at Airbnb.  Also at Hortonworks, Superset is a core
>>>>> component of the DataFlow product offering.  Thus, the risk of the
>>>>>
>>>> project
>>>>
>>>>> being orphaned is relatively low.  The project could be at risk if
>>>>> Airbnb
>>>>> changes their approach for democratizing data or if Hortonworks changes
>>>>> their strategy in the market.  In such an event, the committers plan
to
>>>>> continue working on the project on their own time, thought the progress
>>>>> will likely be slower.  We plan to mitigate this risk by recruiting
>>>>> additional committers.
>>>>>
>>>>> === Inexperience with Open Source ===
>>>>>
>>>>> The initial committers include veteran Apache members (committers and
>>>>> PMC
>>>>> members) and other developers who have varying degrees of experience
>>>>> with
>>>>> open source projects. All have been involved with source code that has
>>>>>
>>>> been
>>>>
>>>>> released under an open source license, and several also have experience
>>>>> developing code with an open source development process.
>>>>>
>>>>> === Homogenous Developers ===
>>>>>
>>>>> The initial committers are employed by Airbnb Inc., and Hortonworks.
We
>>>>>
>>>> are
>>>>
>>>>> committed to recruiting additional committers from other companies.
>>>>>
>>>>> === Reliance on Salaried Developers ===
>>>>>
>>>>> It is expected that Superset development will occur on both salaried
>>>>> time
>>>>> and on volunteer time, after hours. The majority of initial committers
>>>>>
>>>> are
>>>>
>>>>> paid by their employer to contribute to this project. However, they are
>>>>>
>>>> all
>>>>
>>>>> passionate about the project, and we are confident that the project will
>>>>> continue even if no salaried developers contribute to the project. We
>>>>> are
>>>>> committed to recruiting additional committers including non-salaried
>>>>> developers.
>>>>>
>>>>> === Relationships with Other Apache Products ===
>>>>>
>>>>> To the knowledge of the Initial Committers, there are no direct
>>>>>
>>>> competitors
>>>>
>>>>> to Superset within the Apache Software Foundation.  That said, Apache
>>>>> Zeppelin is an indirect competitor, but it solves a different use case.
>>>>>
>>>>> Apache Zeppelin is a web-based notebook that enables interactive data
>>>>> analytics. It enables the creation of beautiful data-driven, interactive
>>>>> and collaborative documents with SQL, Scala and more.  Although a user
>>>>>
>>>> can
>>>>
>>>>> create data visualizations using this project, it leverages a notebook
>>>>> style user interfaces and it is geared towards the Spark community where
>>>>> Scala and SQL co-exist
>>>>>
>>>>> We look forward to collaborating with those communities, as well as
>>>>> other
>>>>> Apache communities.
>>>>>
>>>>> === An Excessive Fascination with the Apache Brand ===
>>>>>
>>>>> Superset is solving two huge challenges:
>>>>>
>>>>> The challenge of enabling every knowledge worker to make data informed
>>>>> decisions, particularly those who are not deeply skilled at writing SQL.
>>>>>
>>>>> The challenge of visualizing huge amounts of data interactively and in
>>>>> real-time
>>>>>
>>>>> Superset was first developed as a data visualization solution for
>>>>>
>>>> Druid.io
>>>>
>>>>> as a way to visualize billions of rows of data.  Since then, usage of
>>>>> Superset has expanded to address data visualization use cases across
SQL
>>>>> speaking data sources as well.
>>>>>
>>>>> Our rationale for developing Superset as an Apache project is detailed
>>>>> in
>>>>> the Rationale Section.  We believe that the Apache brand and community
>>>>> process will help us attract more contributors to this project, and help
>>>>> grow the footprint of the project through usage at other organizations
>>>>>
>>>> and
>>>>
>>>>> within other applications.  Establishing consensus among users and
>>>>> developers will result in a more valuable tool for everyone.
>>>>>
>>>>> == Documentation ==
>>>>>
>>>>> References to further reading material:
>>>>>
>>>>> * [[http://airbnb.io/superset/|Superset Documentation]]
>>>>>
>>>>> * [[https://medium.com/airbnb-engineering/caravel-airbnb-s-dat
>>>>> a-exploration-platform-15a72aa610e5#.npqmmbu25|Blog Post:  Superset:
>>>>> Airbnb’s Data Exploration Platform]]
>>>>>
>>>>> * [[https://medium.com/airbnb-engineering/superset-scaling-dat
>>>>> a-access-and-visual-insights-at-airbnb-3ce3e9b88a7f#.a505zvb1t|Blog
>>>>>
>>>> Post:
>>>>
>>>>>  Superset: Scaling Data Access & Visual Insights at Airbnb]]
>>>>>
>>>>> == Initial Source ==
>>>>>
>>>>> The origin of the proposed code base can be found at
>>>>> https://github.com/airbnb/superset.  The code base is primarily in
>>>>>
>>>> Python.
>>>>
>>>>>
>>>>> == Source and Intellectual Property Submission Plan ==
>>>>>
>>>>> We do not expect any complications for the submission of the Superset
>>>>>
>>>> code
>>>>
>>>>> base.  Our code is already in Github and there is only a single code
>>>>>
>>>> base.
>>>>
>>>>>
>>>>> == External Dependencies ==
>>>>>
>>>>> List of Python packages, from the Python Package Index (Pypi):
>>>>>
>>>>> * boto3
>>>>>
>>>>> * celery
>>>>>
>>>>> * cryptography
>>>>>
>>>>> * flask-appbuilder
>>>>>
>>>>> * flask-cache
>>>>>
>>>>> * flask-migrate
>>>>>
>>>>> * flask-script
>>>>>
>>>>> * flask-sqlalchemy
>>>>>
>>>>> * flask-testing
>>>>>
>>>>> * humanize
>>>>>
>>>>> * gunicorn
>>>>>
>>>>> * markdown
>>>>>
>>>>> * pandas
>>>>>
>>>>> * parsedatetime
>>>>>
>>>>> * pydruid
>>>>>
>>>>> * PyHive
>>>>>
>>>>> * python-dateutil
>>>>>
>>>>> * requests
>>>>>
>>>>> * simplejson
>>>>>
>>>>> * six
>>>>>
>>>>> * sqlalchemy
>>>>>
>>>>> * sqlalchemy-utils
>>>>>
>>>>> * sqlparse
>>>>>
>>>>> * thrift
>>>>>
>>>>> * thrift-sasl
>>>>>
>>>>> * werkzeug
>>>>>
>>>>> List of Javascript packages, from NPM:
>>>>>
>>>>> * autobind-decorator
>>>>>
>>>>> * bootstrap
>>>>>
>>>>> * bootstrap-datepicker
>>>>>
>>>>> * brace
>>>>>
>>>>> * brfs
>>>>>
>>>>> * cal-heatmap
>>>>>
>>>>> * classnames
>>>>>
>>>>> * d3
>>>>>
>>>>> * d3-cloud
>>>>>
>>>>> * d3-sankey
>>>>>
>>>>> * d3-scale
>>>>>
>>>>> * d3-tip
>>>>>
>>>>> * datamaps
>>>>>
>>>>> * datatables-bootstrap3-plugin
>>>>>
>>>>> * datatables.net-bs
>>>>>
>>>>> * font-awesome
>>>>>
>>>>> * gridster
>>>>>
>>>>> * immutability-helper
>>>>>
>>>>> * immutable
>>>>>
>>>>> * jquery
>>>>>
>>>>> * lodash.throttle
>>>>>
>>>>> * mapbox-gl
>>>>>
>>>>> * moment
>>>>>
>>>>> * moments
>>>>>
>>>>> * mustache
>>>>>
>>>>> * nvd3
>>>>>
>>>>> * react
>>>>>
>>>>> * react-ace
>>>>>
>>>>> * react-bootstrap
>>>>>
>>>>> * react-bootstrap-table
>>>>>
>>>>> * react-dom
>>>>>
>>>>> * react-draggable
>>>>>
>>>>> * react-gravatar
>>>>>
>>>>> * react-grid-layout
>>>>>
>>>>> * react-map-gl
>>>>>
>>>>> * react-redux
>>>>>
>>>>> * react-resizable
>>>>>
>>>>> * react-select
>>>>>
>>>>> * react-syntax-highlighter
>>>>>
>>>>> * reactable
>>>>>
>>>>> * redux
>>>>>
>>>>> * redux-localstorage
>>>>>
>>>>> * redux-thunk
>>>>>
>>>>> * shortid
>>>>>
>>>>> * style-loader
>>>>>
>>>>> * supercluster
>>>>>
>>>>> * topojson
>>>>>
>>>>> * victory
>>>>>
>>>>> * viewport-mercator-project
>>>>>
>>>>> == Cryptography ==
>>>>>
>>>>> The proposal does not include cryptographic code.
>>>>>
>>>>> == Required Resources ==
>>>>>
>>>>> === Mailing List ===
>>>>>
>>>>> There is a current mailing list as a Google Group “airbnb_superset”
that
>>>>>
>>>> we
>>>>
>>>>> are planning on deprecating as the Apache.org become ready to serve our
>>>>> community.
>>>>>
>>>>> * superset-private
>>>>>
>>>>> * superset-dev
>>>>>
>>>>> * superset-user
>>>>>
>>>>> === Subversion Directory ===
>>>>>
>>>>> Git is the preferred source control system.
>>>>>
>>>> http://svn.apache.org/repos/as
>>>>
>>>>> f/incubator/superset
>>>>>
>>>>> == Git Repository ==
>>>>>
>>>>> Git is the preferred source control system, we’re assuming
>>>>> https://github.com/apache/incubator-superset based on the naming scheme
>>>>>
>>>>> == Issue Tracking ==
>>>>>
>>>>> JIRA Superset (SUPERSET). If possible, we’d like to use Github issues
&
>>>>>
>>>> PRs
>>>>
>>>>> to manage our project as much as possible. It’s been said that there
are
>>>>> ways to keep Github’s issues in sync with Jira, allowing us to get
best
>>>>>
>>>> of
>>>>
>>>>> both worlds. If that is not possible, we will comply to using Jira.
>>>>>
>>>>> == Other Resources ==
>>>>>
>>>>> We currently use a set of Github integrated services that are free to
>>>>> the
>>>>> open source community, like Travis-ci, Code Climate, Coveralls,
>>>>> Landscape.io, Requires.io, david-dm and Gitter. We would like to keep
>>>>>
>>>> using
>>>>
>>>>> these services as they allow us to scale contributions and optimize our
>>>>> development flows. These services require some elevated rights on the
>>>>> Github repository in order to set up or tune and we would like for the
>>>>> committers to have the required rights.
>>>>>
>>>>>
>>>>> == Initial Committers ==
>>>>>
>>>>> * Maxime Beauchemin <maxime.beauchemin@airbnb.com> - PMC &
Committer
>>>>>
>>>>> * Alanna Scott <alanna.scott@airbnb.com> - PMC & Committer
>>>>>
>>>>> * Bogdan Kyryliuk <b.kyryliuk@gmail.com> - PMC & Committer
>>>>>
>>>>> * Vera Liu <vera.liu@airbnb.com> - Committer
>>>>>
>>>>> * Jeff Feng <jeff.feng@airbnb.com> - PMC & Committer
>>>>>
>>>>> * Ashutosh Chauhan <hashutosh@apache.org> - Mentor & Committer
>>>>>
>>>>> * Nishant Bangarwa <nbangarwa@hortonworks.com> - PMC & Committer
>>>>>
>>>>> * Slim Bouguerra <sbouguerra@hortonworks.com> - Committer
>>>>>
>>>>> * Priyank Shah <pshah@hortonworks.com> - Committer
>>>>>
>>>>> * Harsha Chintalapani <schintalapani@hortonworks.com> - Committer
>>>>>
>>>>> * Daniel Dai <daijy@apache.org> - Champion & Committer
>>>>>
>>>>> == Affiliations ==
>>>>>
>>>>> The initial committers are employees of Airbnb Inc. and Hortonworks.
>>>>>
>>>>> == Sponsors ==
>>>>>
>>>>> === Champion ===
>>>>>
>>>>> Daniel Dai <daijy@apache.org>
>>>>>
>>>>> === Nominated Mentors ===
>>>>>
>>>>> Ashutosh Chauhan <hashutosh@apache.org>
>>>>>
>>>>> === Sponsoring Entity ===
>>>>>
>>>>> Incubator PMC
>>>>>
>>>>>
>>>>> --
>>>>>
>>>>> *Jeff Feng*
>>>>> Product Manager
>>>>> m: (949)-610-5108 <(949)%20610-5108>
>>>>> twitter: @jtfeng
>>>>>
>>>>>
>>>>
>>>
>> --
>> Jean-Baptiste Onofré
>> jbonofre@apache.org
>> http://blog.nanthrax.net
>> Talend - http://www.talend.com
>>
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>>
>>
>

-- 
Jean-Baptiste Onofré
jbonofre@apache.org
http://blog.nanthrax.net
Talend - http://www.talend.com

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