Data Analytics development framework

Data Scientists and Data Analytics Application developers can benefit from the Data Analytics Development Framework, which integrates a visual framework (LEMONADE) developed in the frame of the project and capable of building up data analytic parallel workflows on Spark and COMPSs and supporting OLAP functions through Ophidia with privacy and QoS constraints. The programming framework includes a broad suite of pre-built tools and descriptive and predictive models for traffic data analytics, ready to be integrated on the applications developed Data Scientists. The programming models include the support to privacy policies and generic Data Quality and Entity Matching services and a toolbox of models for building applications on traffic data, with models for extracting routes, predicting crowdedness, estimating traffic jams, sentiment analysis, computing trajectories among others.