Public Repository

Last pushed: a month ago
Short Description
Dataiku Data Science Studio, community edition
Full Description

What is Dataiku Data Science Studio

Data Science Studio (DSS) is a software platform that aggregates all the steps and big data tools necessary to get from raw data to production ready applications.

It shortens the load-prepare-test-deploy cycles required to create data driven applications.

Thanks to its visual and interactive workspace, it is accessible to both Data Scientists and Business Analysts.

dataiku.com/dss

How to use this image

Upon startup, this image configures Data Science Studio to use port 10000 and
data directory /home/dataiku/dss

By default, this directory is initially empty, so Data Science Studio starts as
a fresh install.

It is however possible to mount an existing directory on this path, to have Data Science
Studio run off it. In this case, the initial startup triggers an initial install or an update
of this directory, depending whether it is initially empty or not.

Start a DSS instance on the default internal data directory, exposing DSS on the default port (10000)

docker run -p 10000:10000 -d dataiku/dss

Alternatively, you can start a DSS instance on a mounted data directory, exposing DSS on the default port (10000).

docker run -p 10000:10000 -v MYDIR:/home/dataiku/dss -d dataiku/dss

Open DSS in your browser (Chrome or Firefox)

For Linux, open http://localhost:10000

For Mac and Windows, you should connect to http://ADDRESS:10000 where ADDRESS is the IP address of the VM. Find the IP address with the commands:

docker-machine ls
docker-machine ip <Name>

Resources

Docker Pull Command
Owner
dataiku