Search Solutions

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

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 CSP solver is the heart of the IBM’s Data Fabrication Platform technology. The generated data is the solution of a constraint satisfaction problem created by the Platform engine out of the user defined data model.

The EBG “company data marketplace” ia a place where company data providers can advertise their data, and data consumers can search, analyse, and compare data from the data providers, all in a unified way.

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

Private blockchain network that includes a metrics catalogue. Data customers are connected to data providers. Data costumers can configure SQL queries and obtain individual anonymised data or aggregated data.

The aim of the COVID-19 Data Portal is to facilitate data sharing and analysis, and to accelerate coronavirus research

The COVID-19 Data Portal

The key concept proposed in the DEEP Hybrid DataCloud project is the need to support intensive computing techniques that require specialized HPC hardware, like GPUs or low-latency interconnects, to explore very large datasets.