Brief description

The new data-driven industrial revolution highlights the need for big data technologies to unlock the potential in various application domains. BigDataStack, a Holistic Stack for Applications and Operations, is being developed by a strong consortium of 14 partners, led by IBM Research. The project, funded under the European Commission Horizon 2020 Work Programme, presents in 36 months, a set of prototypes demonstrating a complete, high-performing, data-centric stack of technologies.

With a focus on addressing the emerging needs of providing fully efficient and optimised cluster management for data operations and data-intensive applications. The stack is based on a frontrunner infrastructure management system that drives decisions according to data aspects thus being fully scalable, runtime adaptable and performant for big data operations and data-intensive applications. 

To fully exploit the sustainability of BigDataStack and take full advantage of the developed technologies, the consortium has brought on board three pilot cases  from the retail, shipping and insurance sectors that will exhibit their applicability.

Goals

Duration:
Jan 2018 to Dec 2020
Type:
Big Data
Data Management
ICT Standards
Research Data Infrastructures

Our role

Trust-IT coordinates the work on Communication, Exploitation, Standardisation & Roadmapping. We developed BigDataStack’s website using a modern and fully-responsive layout, completely redesigned to suit the needs of a high-tech R&I project. Trust-IT is responsible for delivering valuable content in the most easily-digestible way to better retain and grow the project’s community. We lead the creation of the project’s visual identity and promotional materials such as flyers and videos, as well as the management of the project Twitter and LinkedIn channels. 
Trust-IT also contributes to the project's work on Requirements & Architecture and Use Cases Adaptation, Experimentation, Evaluation.


Acknowledgements

BigDataStack is funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement 779747