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Imporving the README
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INTHEWILD.md
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Please use [pull requests](https://github.com/airbnb/superset/pull/new/master)
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to add your organization and/or project to this document!
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Organizations
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----------
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- [Airbnb](https://github.com/airbnb)
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- [GfK Data Lab](http://datalab.gfk.com)
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- [Maieutical Labs](https://cloudschooling.it)
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- [Shopkick](https://www.shopkick.com)
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- [Amino](https://amino.com)
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- [Faasos](http://faasos.com/)
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- [Clark.de](http://clark.de/)
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- [Yahoo!](www.yahoo.com)
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- [Digit Game Studios](https://www.digitgaming.com/)
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- [Brilliant.org](https://brilliant.org/)
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- [Qunar](https://www.qunar.com/)
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- [Udemy](https://www.udemy.com/)
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- [Tooploox](https://www.tooploox.com/)
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- [Tobii](http://www.tobii.com/)
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- [Endress+Hauser](http://www.endress.com/)
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- [Tails.com](https://tails.com)
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- [FBK - ICT center](http://ict.fbk.eu)
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Projects
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----------
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- None we know of yet
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README.md
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README.md
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@ -19,8 +19,8 @@ Superset
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width="500"
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/>
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**Superset** is a data exploration platform designed to be visual, intuitive
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and interactive.
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**Apache Superset** (incubating) is a modern, enterprise-ready
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business intelligence web application
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[this project used to be named **Caravel**, and **Panoramix** in the past]
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@ -52,24 +52,26 @@ Screenshots & Gifs
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![superset-query-search](https://cloud.githubusercontent.com/assets/130878/20234706/0f430a10-a835-11e6-8a0d-8b26cc2e6bbd.png)
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Superset
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---------
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Superset's main goal is to make it easy to slice, dice and visualize data.
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It empowers users to perform **analytics at the speed of thought**.
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Apache Superset
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---------------
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Apache Superset is a data exploration and visualization web application.
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Superset provides:
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* A quick way to intuitively visualize datasets by allowing users to create
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and share interactive dashboards
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* A rich set of visualizations to analyze your data, as well as a flexible
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way to extend the capabilities
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* An intuitive interface to explore and visualize datasets, and
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create interactive dashboards.
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* A wide array of beautiful visualizations to showcase your data.
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* Easy, code-free, user flows to drill down and slice and dice the data
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underlying exposed dashboards. The dashboards and charts acts as a starting
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point for deeper analysis.
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* A state of the art SQL editor/IDE exposing a rich metadata browser, and
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an easy workflow to create visualizations out of any result set.
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* An extensible, high granularity security model allowing intricate rules
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on who can access which features, and integration with major
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authentication providers (database, OpenID, LDAP, OAuth & REMOTE_USER
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through Flask AppBuilder)
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* A simple semantic layer, allowing to control how data sources are
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displayed in the UI, by defining which fields should show up in
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which dropdown and which aggregation and function (metrics) are
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made available to the user
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on who can access which product features and datasets.
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Integration with major
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authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, ...)
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* A lightweight semantic layer, allowing to control how data sources are
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exposed to the user by defining dimensions and metrics
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* Out of the box support for most SQL-speaking databases
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* Deep integration with Druid allows for Superset to stay blazing fast while
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slicing and dicing large, realtime datasets
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* Fast loading dashboards with configurable caching
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@ -78,15 +80,41 @@ Superset provides:
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Database Support
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----------------
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Superset was originally designed on top of Druid.io, but quickly broadened
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its scope to support other databases through the use of SQLAlchemy, a Python
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Superset speaks many SQL dialects through SQLAlchemy, a Python
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ORM that is compatible with
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[most common databases](http://docs.sqlalchemy.org/en/rel_1_0/core/engines.html).
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Superset can be used to visualize data out of most databases:
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* MySQL
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* Postgres
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* Vertica
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* Oracle
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* Microsoft SQL Server
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* SQLite
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* Greenplum
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* Firebird
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* MariaDB
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* Sybase
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* IBM DB2
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* Exasol
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* MonetDB
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* Snowflake
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* Redshift
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* **more!** look for the availability of a SQLAlchemy dialect for your database
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to find out whether it will work with Superset
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What is Druid?
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-------------
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From their website at http://druid.io
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Druid!
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------
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On top of having the ability to query your relational databases,
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Superset has ships with deep integration with Druid (a real time distributed
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column-store). When querying Druid,
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Superset can query humongous amounts of data on top of real time dataset.
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Note that Superset does not require Druid in any way to function, it's simply
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another database backend that it can query.
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Here's a description of Druid from the http://druid.io website:
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*Druid is an open-source analytics data store designed for
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business intelligence (OLAP) queries on event data. Druid provides low
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@ -130,19 +158,33 @@ Resources
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* [Slides from Strata (March 2016)](https://drive.google.com/open?id=0B5PVE0gzO81oOVJkdF9aNkJMSmM)
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Tip of the Hat
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--------------
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Superset would not be possible without these great frameworks / libs
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* Flask App Builder - Allowing us to focus on building the app quickly while
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getting the foundation for free
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* The Flask ecosystem - Simply amazing. So much Plug, easy play.
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* NVD3 - One of the best charting libraries out there
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* Much more, check out the `install_requires` section in the [setup.py](https://github.com/airbnb/superset/blob/master/setup.py) file!
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Contributing
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------------
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Interested in contributing? Casual hacking? Check out [Contributing.MD](https://github.com/airbnb/superset/blob/master/CONTRIBUTING.md)
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Interested in contributing? Casual hacking? Check out
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[Contributing.MD](https://github.com/airbnb/superset/blob/master/CONTRIBUTING.md)
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Who uses Apache Superset (incubating)?
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--------------------------------------
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Here's a list of organizations who have taken the time to send a PR to let
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the world know they are using Superset. Join our growing community!
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- [Airbnb](https://github.com/airbnb)
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- [Amino](https://amino.com)
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- [Brilliant.org](https://brilliant.org/)
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- [Clark.de](http://clark.de/)
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- [Digit Game Studios](https://www.digitgaming.com/)
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- [Endress+Hauser](http://www.endress.com/)
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- [FBK - ICT center](http://ict.fbk.eu)
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- [Faasos](http://faasos.com/)
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- [GfK Data Lab](http://datalab.gfk.com)
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- [Maieutical Labs](https://cloudschooling.it)
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- [Qunar](https://www.qunar.com/)
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- [Shopkick](https://www.shopkick.com)
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- [Tails.com](https://tails.com)
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- [Tobii](http://www.tobii.com/)
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- [Tooploox](https://www.tooploox.com/)
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- [Udemy](https://www.udemy.com/)
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- [Yahoo!](www.yahoo.com)
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