The latest version of Seahorse, deepsense.io’s flagship Big Data product, adds new features and improved UI.
Menlo Park, CA – April 12, 2016
deepsense.io launches the new version of Seahorse, its scalable data analytics workbench powered by Apache Spark, at the Hadoop Summit Europe 2016. Seahorse, deepsense.io’s flagship product, allows data scientists to visually design, edit and execute Spark applications using a Web-based code-free interface.
New features in Seahorse Desktop 1.1 include model deployment which allows users to export and re-use trained predictive models on a recurring basis, new machine learning operations – 8 new algorithms for classification, regression clustering and feature selection, and an enhanced UI and data visualization for more interactive user experience.
deepsense.io also released two new case studies which show step-by-step how Seahorse Desktop 1.1 allows users to derive significant new insights from their data. Full technical documentation for Seahorse 1.1, as well as the new case studies, are available at seahorse.deepsense.io.
deepsense.io’s presence at Hadoop Summit 2016, the only Hadoop Community event in Europe, is also marked by Senior Software Engineer Piotr Lusakowski’s presentation on Cooperative Data Exploration with IPython Notebook. Piotr’s presentation was chosen as one of the top vote-getters during the Summit’s Community Choice voting.
deepsense.io is proud to be a Silver Sponsor of the Hadoop Summit Europe 2016.
Brand Manager at deepsense.io
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