Three months after the release of 'Sisho' (V1.2), DSS 'Mikan' introduces some of the most requested features for even smoother projects around data analysis.
DSS lets you work on your data with both visual accelerators and interactive coding environments.
In addition to Python, Pig, Hive, Impala, and SQL, DSS now features an integration with the widely used statistic language R:
Working with R in DSS is now just a breeze!
DSS's visual Machine Learning interface guides you through the creation and improvement of your models.
We've greatly enhanced clustering so that you can easily explore your models' results.
When working with Hadoop, DSS frees you from the burdens of technical integration. DSS now supports many new Hadoop file formats, even when you are working with Pig, Hive, and Impala:
The DataFlow is the place where you can navigate and manage your entire workflow (datasets, recipes, models…) from your raw data to your final models. We've added new tools to manage complex data flows:
In this version, you'll also notice improvements in the user experience thanks to interface bug fixes (thanks to all of your feedback).
We are curious about your use of this new version and we would love to hear your feedback!
Clement, CTO of Dataiku.
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