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Data lakes are raw data ecosystems, where large amounts of diverse data are retained and coexist. They facilitate self-service analytics for flexible, fast, ad hoc decision making.

The RapidMiner Streaming extension allows user to easily build streaming processes in a guided, visual workflow designer.

The I-BiDaaS project aims to empower end-users to utilize and interact with big data technologies more easily.

An analytical process is provided, which analyzes the recent GPS traces of a vehicle and assigns to it a probability of having a crash in the next mid-term future (typically, one month ahead).  The process is based on the analysis of historical data of several vehicles in terms of mobility (

The p-median solver developed by the Track&Know project uses a genetic algorithm approach to solve the Location-allocation problems in polynomial time. Location-allocation problems typical deal with provisioning of resources between facilities based on historic demand.

A tool for analyzing the GPS traces of a vehicle to identify the places where a user stops for significant durations, and to aggregate them into locations of interest for the user. Each location is enriched with statistical information about frequency of stops.

This is an open-source implementation of the Alternating Direction Method of Multipliers (ADMM)[1] optimization algorithm that relies on CVXPY[2], a Python-based toolbox for

Our technology allows organizing the data according to their multidimensional attributes while building stratified samples at high-speed.

SOFIA DSS is a model and data-driven system that addresses the challenge of personnel evaluation and recruitment.

OptiqueVQS is a visual query formulation tool for expressing information needs in terms of queries over ontologies. OptiqueVQS is composed of an interface and a navigation graph extracted from the underlying ontologies.