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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.

Trajectory clustering is an important operation of knowledge discovery from mobility data. Especially nowadays, the need for performing advanced analytic operations over massively produced data, such as mobility traces, in efficient and scalable ways is imperative.

Histographer is a software platform for building holistic solution integrating multimodal histopathology data.

This innovation corresponds to specification of an end-to-end platform for Big Data as-a-self-service, developed within the I-BiDaaS project.

The aim of #GoSAFE is to establish an interoperability model to enable cross border mobility during COVID-19 crisis, based on: (1) Solid national back offices providing information on people infected and (2) the GoSAFE BioSurveillance Kit BSK.