Dataiku Streamlines the Deployment and Production of Predictive Applications with the Release of DSS 3

NEW YORK, March 31, 2016 /PRNewswire/ -- Dataiku, the maker of Dataiku Data Science Studio (DSS), today announced the release of DSS 3. With this release, Dataiku introduces the first integrated visual environment for the design and production of data science applications, batch or real-time.

The new integrated visual environment in DSS 3 includes a dedicated production node feature that solves the problem of development environments typically being disconnected and incompatible with production environments.  Users can now deploy, test, and roll-back (if needed) multiple instances of their data applications in all cycles of the data engineering process, from development to deployment. This allows the data team to independently design, build, run, and continuously improve their data products even while they are running in production.

Dataiku DSS 3 provides key features that are beneficial to "DataOps." Similar to DevOps, DataOps is a new profile arising in data-driven organizations whose goal is to improve the coordination between data application development and operation. The new DataOps features in Dataiku DSS 3 are:  

• Real-Time Model Deployment: Predictive models can be deployed, versioned, and made available through a high-availability API.
  
  
• Advanced Data Metrics Monitoring: Advanced monitoring of data allows the user to define 'data boundaries,' allowing the system to monitor and automatically generate an alert if there are any important divergences.
  
  
• Enterprise Integration Scenarios: Dataiku augments its existing smart data flow reconstruction system with enterprise integration scenarios. The new integration scenario enables users to secure the production life-cycle of a predictive model, with features such as data quality check, model divergence check, trigger on an event, etc.
  
  
• Resource Usage Monitoring: Data Ops can now track computing resource usage and data volume of their data science applications, across file systems, Hadoop, Cassandra, and Data warehouses.

In addition, Dataiku DSS 3 introduces new features to simplify the collaboration and documentation of data projects including Enriched Version Control, Team Activity Dashboards, User Defined Data Types, Metadata management, and Data Discovery.

To try Dataiku DSS 3 for free, please visit: http://www.dataiku.com/dss/trynow/ 

For best practices to deploying data products and data science projects in production, please download this complimentary guide: http://info.dataiku.com/putting-datascience-in-production-guidebook/

SOURCE Dataiku

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