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Maxime Beauchemin
2016-03-17 22:58:08 -07:00
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Overview
=======================================
Features
---------
- A rich set of data visualizations, integrated from some of the best
visualization libraries
- Create and share simple 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
providers (database, OpenID, LDAP, OAuth & REMOTE_USER through
Flask AppBuilder)
- 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
drop-down and which aggregation and function metrics are made available
to the user
- Integration with most RDBMS through SqlAlchemy
- Deep integration with Druid.io
Contents
---------
.. toctree::
:maxdepth: 2
user_guide
Indices and tables
------------------
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`

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User Guide
==========
The user guide is a collection of short videos showing different aspect
of Dashed.
Quick Intro
'''''''''''
This video demonstrates how Dashed works at a high level, it shows how
to navigate through datasets and dashboards that are already available.
- Coming soon!
Dashboard Creation
''''''''''''''''''
This video walk you through the creation of a simple dashboard as a
collection of data slices.
- Coming soon!
Dashboard Filtering
'''''''''''''''''''
This video shows how to create dynamic filters on dashboards, how to
immunize certain widgets from being affected by filters.
- Coming soon!
Customize CSS and dashboard themes
''''''''''''''''''''''''''''''''''
A quick walkthrough on how to apply existing CSS templates, alter them and
create new ones.
- Coming soon!
Slice Annotations
'''''''''''''''''
A short video on how to annotate your charts, the markdown language and
to toggle them on dashboards.
- Coming soon!
Adding a Table
''''''''''''''
This videos shows you how to expose a new table in Dashed, and how to
define the semantics on how this can be accessed by others in the ``Explore``
and ``Dashboard`` views.
- Coming soon!
Define SQL Expressions
''''''''''''''''''''''
A walkthrough on how to create your own derived dimensions and metrics.
- Coming soon!