Adding 'apache' to docs (#3194)

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Maxime Beauchemin 2017-07-28 11:42:01 -07:00 committed by GitHub
parent e4fba0ffb7
commit ad5a4389a2
2 changed files with 23 additions and 11 deletions

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@ -51,7 +51,7 @@ source_suffix = '.rst'
master_doc = 'index' master_doc = 'index'
# General information about the project. # General information about the project.
project = "Superset's documentation" project = "Apache Superset"
copyright = None copyright = None
author = u'Maxime Beauchemin' author = u'Maxime Beauchemin'

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.. image:: _static/img/s.png .. image:: _static/img/s.png
Superset's documentation Apache Superset (incubating)
'''''''''''''''''''''''' ''''''''''''''''''''''''''''
Superset is a data exploration platform designed to be visual, intuitive Apache Superset (incubating) is a modern, enterprise-ready business
and interactive. intelligence web application
---------------- ----------------
@ -12,25 +12,37 @@ and interactive.
.. warning:: This project was originally named Panoramix, was renamed to .. warning:: This project was originally named Panoramix, was renamed to
Caravel in March 2016, and is currently named Superset as of November 2016 Caravel in March 2016, and is currently named Superset as of November 2016
.. important::
**Disclaimer**: Apache Superset is an effort undergoing incubation at The
Apache Software Foundation (ASF), sponsored by the Apache Incubator.
Incubation is required of all newly accepted projects until a further
review indicates that the infrastructure, communications, and
decision making process have stabilized in a manner consistent with
other successful ASF projects. While incubation status is not
necessarily a reflection of the completeness or stability of
the code, it does indicate that the project has yet to be fully
endorsed by the ASF.
Overview Overview
======================================= =======================================
Features Features
--------- ---------
- A rich set of data visualizations, integrated from some of the best - A rich set of data visualizations
visualization libraries - An easy-to-use interface for exploring and visualizing data
- Create and share simple dashboards - Create and share dashboards
- An extensible, high-granularity security/permission model allowing
intricate rules on who can access individual features and the dataset
- Enterprise-ready authentication with integration with major authentication - Enterprise-ready authentication with integration with major authentication
providers (database, OpenID, LDAP, OAuth & REMOTE_USER through providers (database, OpenID, LDAP, OAuth & REMOTE_USER through
Flask AppBuilder) Flask AppBuilder)
- An extensible, high-granularity security/permission model allowing
intricate rules on who can access individual features and the dataset
- A simple semantic layer, allowing users to control how data sources are - A simple semantic layer, allowing users to control how data sources are
displayed in the UI by defining which fields should show up in which displayed in the UI by defining which fields should show up in which
drop-down and which aggregation and function metrics are made available drop-down and which aggregation and function metrics are made available
to the user to the user
- Integration with most RDBMS through SqlAlchemy - Integration with most SQL-speaking RDBMS through SQLAlchemy
- Deep integration with Druid.io - Deep integration with Druid.io
------ ------