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.

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.

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 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.

Current trends towards the use of big data technologies in the context of smart cities suggest the need for developing novel software development ecosystems upon which advanced mobility functionalities can be developed.

Big data technologies are nowadays being integrated in systems that are required to process a vast amount of information from geographically distributed data sources.

Key motivation of Cross-CPP project is to give cross-sectorial industries access to the great spectrum of sensor data coming from products from various industrial sectors (vehicles, smart home devices, etc.).

The FashionBrain solution aims at combining data from different sources to support different fashion industry players by predicting upcoming fashion trends from social media as well as providing personalized recommendations and advanced fashion item search to customers.

The AEGIS platform provides a multi-tenant data management and processing services for big data. The multi-tenancy behaviour allows different users and services to securely and privately access and process their data.