My mentoring cycles are all spoken for, but Superset is a great project and I look forward to it becoming part of Apache. Good luck, and I look forward to voting on your release candidates!
Julian > On Apr 13, 2017, at 6:48 PM, Luke Han <luke...@gmail.com> wrote: > > Happy to help too. > > > Best Regards! > --------------------- > > Luke Han > > On Fri, Apr 14, 2017 at 1:17 AM, Debo Dutta (dedutta) <dedu...@cisco.com> > wrote: > >> happy to help >> >> debo >> >> On 4/13/17, 9:59 AM, "Maxime Beauchemin" <maximebeauche...@gmail.com> >> 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 < >> j...@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...@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.f...@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.beauche...@airbnb.com> - PMC & >> Committer >>>>>> >>>>>> * Alanna Scott <alanna.sc...@airbnb.com> - PMC & Committer >>>>>> >>>>>> * Bogdan Kyryliuk <b.kyryl...@gmail.com> - PMC & Committer >>>>>> >>>>>> * Vera Liu <vera....@airbnb.com> - Committer >>>>>> >>>>>> * Jeff Feng <jeff.f...@airbnb.com> - PMC & Committer >>>>>> >>>>>> * Ashutosh Chauhan <hashut...@apache.org> - Mentor & Committer >>>>>> >>>>>> * Nishant Bangarwa <nbanga...@hortonworks.com> - PMC & Committer >>>>>> >>>>>> * Slim Bouguerra <sbougue...@hortonworks.com> - Committer >>>>>> >>>>>> * Priyank Shah <ps...@hortonworks.com> - Committer >>>>>> >>>>>> * Harsha Chintalapani <schintalap...@hortonworks.com> - Committer >>>>>> >>>>>> * Daniel Dai <da...@apache.org> - Champion & Committer >>>>>> >>>>>> == Affiliations == >>>>>> >>>>>> The initial committers are employees of Airbnb Inc. and >> Hortonworks. >>>>>> >>>>>> == Sponsors == >>>>>> >>>>>> === Champion === >>>>>> >>>>>> Daniel Dai <da...@apache.org> >>>>>> >>>>>> === Nominated Mentors === >>>>>> >>>>>> Ashutosh Chauhan <hashut...@apache.org> >>>>>> >>>>>> === Sponsoring Entity === >>>>>> >>>>>> Incubator PMC >>>>>> >>>>>> >>>>>> -- >>>>>> >>>>>> *Jeff Feng* >>>>>> Product Manager >>>>>> m: (949)-610-5108 <(949)%20610-5108> >>>>>> twitter: @jtfeng >>>>>> >>>>>> >>>>> >>>> >>> -- >>> Jean-Baptiste Onofré >>> jbono...@apache.org >>> http://blog.nanthrax.net >>> Talend - http://www.talend.com >>> >>> ------------------------------------------------------------ >> --------- >>> To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org >>> For additional commands, e-mail: general-h...@incubator.apache.org >>> >>> >> >> >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org >> For additional commands, e-mail: general-h...@incubator.apache.org >> --------------------------------------------------------------------- To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org For additional commands, e-mail: general-h...@incubator.apache.org
