The new data-driven industrial revolution highlights the need for big data technologies to unlock the potential in various application domains.
A new high-powered stack of technologies, BigDataStack, kicked off this January 2018.
Heading the multinational, strong consortium of 14 partners, is IBM Haifa, Israel with a focus on addressing the emerging needs of providing fully efficient and optimised cluster management for data operations and data-intensive application. The project, funded under the European Commission Horizon 2020 Work Programme, will present in 36 months, a set of prototypes demonstrating a complete, high-performing, data-centric stack of technologies.
To this end, BigDataStack delivers a complete high-performant stack of technologies addressing the emerging needs of data operations and 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.
BigDataStack promotes automation and quality and ensures that the provided data are meaningful, of value and fit-for- purpose through its Data as a Service offering that addresses the complete data path with approaches for data cleaning, modelling, semantic interoperability, and distributed storage.
BigDataStack introduces a pioneering technique for seamless analytics which analyses data in a holistic fashion across multiple data stores and locations, handling analytics on both data in flight and at rest. Complemented with an innovative CEP running in federated environments for real-time, cross-stream processing, predictive algorithms and process mining, BigDataStack offers a complete suite for big data analytics.
BigDataStack holistic solution incorporates approaches for data-focused application analysis and dimensioning, and process modelling towards increased performance, agility and efficiency. A toolkit allowing the specification of analytics tasks in a declarative way, their integration in the data path, as well as an adaptive visualization environment, realize BigDataStack’s vision of openness and extensibility.
A multi-channel scenario will facilitate data analytics-powered smart insurance, providing a 360-degree view of the customer and personalized services.