Accelerate Innovation with Collaborative Data Science:
Increase the productivity of your data science team by 4-5x through collaboration and the democratization of data and insights.
Collaborative Workspace: Speed up iterative model building and tuning with interactive notebooks purpose-built to instill collaboration across teams.
Support for Multiple Programming Languages: Interactively query largescale data sets in R, Python, Scala, or SQL.
Built-in Visualizations: Visualize insights through a wide assortment of point-and-click visualizations. Or use powerful scriptable options like matplotlib, ggplot, and D3. • Highly Extensible: Make use of popular libraries within your notebook or job such as scikit-learn, nltkML, pandas, etc. A Unified Approach to Data Science Share Insights via Interactive Dashboards Share insights with your colleagues and customers,orlet them run interactive queries with Spark-powered dashboards.
One Click Publishing: Create shareable dashboards from notebooks with a single click. One notebook can be tailored into multiple dashboard views.
Continuous Updates: Publish dashboards and schedule the content to be updated continuously.
Parameterized Dashboards: Enable non-technical users to perform scenario analysis directly from published dashboards. • Dashboard Widgets: Input widgets allow you to parameterize your dashboards.