MAIN OBJECTIVES
Performance and dynamicity
Deliver an infrastructure management system for the holistic management of computing, storage and networking resources, encompassing techniques for runtime adaptations of all BigDataStack operations
Optimization and scalability
Architect and implement a complete real-time, data-oriented environment targeting data operations and data-intensive applications
Dimensioning and automation
Understand and model distributed data analytics and process mining tasks, as well as data-intensive applications to compile deployment patterns
Sustainability and competitive advantage
Introduce the European Open Source initiative and define clear exploitation paths and strategy
Automation, agility, quality
Realize Data as a Service through data functions across the complete data path and lifecycle
Openness and extensibility
Provide a data toolkit and an adaptive visualization environment
Applicability and validation
Challenge and showcase BigDataStack innovations through various use cases
