What’s New Version 5.x

Highlights of the latest Dataiku DSS releases. More details in our release notes.

Version 5.1 – January 2019

Overview

Dataiku Version 5.1 offers a state-of-the-art experience for hardcore coder data scientists, and adds capabilities to help organisations govern their data initiatives while complying with regulations. See the following video for a quick introduction to 5.1!

Dataiku Version 5.1 code overview

Git Integration for Plugins

Git Integration for Plugins

The plugin editor now features full Git integration, allowing you to view the history of a plugin, revert changes, and to push and pull changes from a remote Git repository.

Learn more in our tutorials and in the reference documentation

Git Integration for Code Libraries

Git Integration for Code Libraries

In the library editor of each Dataiku project, you can now import code from external Git repositories.

Learn more in our tutorials and in the reference documentation

RStudio Integration

RStudio Integration

Though Jupyter notebooks are integrated into the Dataiku interface, many R developers use RStudio. Dataiku 5.1 offers several integration points with RStudio.

Learn more in our tutorials and in the reference documentation

GDPR Capabilities

GDPR Capabilities

A new plugin allows you to enforce a number of GDPR-related rules on projects.

Learn more in our tutorials and in the plugin page

 

Copy/Paste Prepare Recipe Steps

Copy/Paste Prepare Recipe Steps

You can now copy and paste preparation steps, either within a single preparation recipe or across preparation recipes, or even across DSS instances.

Learn more in the reference documentation

 

Show/Hide Subflows

Show/Hide Subflows

You can now hide parts of the Flow in order to improve the readability of very large flows. You can easily hide all parts of a flow upstream/downstream of a single node.

Learn more in the reference documentation

 

Copy Projects

Copy Projects

You can now easily duplicate a DSS project, optionally duplicating the content of some datasets.

Learn more in the reference documentation

 

Find all details in our release notes.


For older releases