The BigDataStack project was conceived as a data centric environment, integrating approaches for Data as a Service (DaaS). The data services of this environment are naturally at the core of BigDataStack and are covered in this deliverable in terms of design specification as well as in terms of integration and experimentation outcomes (i.e. prototypes evaluations). An initial demonstration of the capabilities offered by the data services has been performed during the interim review of the project, in which all the components have been integrated and interacted to demonstrate their added-value and innovations in the scope of the real-time ship management use case
The current document reflects the first deliverable of Innovation Management, which identifies and s...
BigDataStack.Eu in its final event: “A BigDataStack for Industry - a focus on retail, shipping, and ...
BigDataStack delivers a complete high-performance stack of technologies addressing the needs of data...
The BigDataStack project was conceived as a data centric environment, integrating approaches for Dat...
The Data as a Service block presents a fine set of data services which can be mapped to the major ph...
BigDataStack delivers a complete high-performant stack of technologies addressing the needs of data ...
This deliverable presents Scientific Report and Prototype Description for the work carried out in th...
BigDataStack delivers a complete high-performant stack of technologies addressing the needs of data ...
BigDataStack delivers a complete high-performant stack of technologies addressing the needs of data ...
This new deliverable version aims to present a plan for the data management, collection, generation,...
BigDataStack delivers a complete high-performant stack of technologies addressing the needs of data ...
This deliverable includes a thorough state-of-play analysis of the big data landscape in terms of co...
After 3 years of research and innovation, the BigDataStack consortium proudly delivered its complete...
This is the Scientific Report and Prototype Description (Y3), reflecting the work done in the scope ...
This report presents the BigDataGrapes project vision and ambition and summarises the project’s achi...
The current document reflects the first deliverable of Innovation Management, which identifies and s...
BigDataStack.Eu in its final event: “A BigDataStack for Industry - a focus on retail, shipping, and ...
BigDataStack delivers a complete high-performance stack of technologies addressing the needs of data...
The BigDataStack project was conceived as a data centric environment, integrating approaches for Dat...
The Data as a Service block presents a fine set of data services which can be mapped to the major ph...
BigDataStack delivers a complete high-performant stack of technologies addressing the needs of data ...
This deliverable presents Scientific Report and Prototype Description for the work carried out in th...
BigDataStack delivers a complete high-performant stack of technologies addressing the needs of data ...
BigDataStack delivers a complete high-performant stack of technologies addressing the needs of data ...
This new deliverable version aims to present a plan for the data management, collection, generation,...
BigDataStack delivers a complete high-performant stack of technologies addressing the needs of data ...
This deliverable includes a thorough state-of-play analysis of the big data landscape in terms of co...
After 3 years of research and innovation, the BigDataStack consortium proudly delivered its complete...
This is the Scientific Report and Prototype Description (Y3), reflecting the work done in the scope ...
This report presents the BigDataGrapes project vision and ambition and summarises the project’s achi...
The current document reflects the first deliverable of Innovation Management, which identifies and s...
BigDataStack.Eu in its final event: “A BigDataStack for Industry - a focus on retail, shipping, and ...
BigDataStack delivers a complete high-performance stack of technologies addressing the needs of data...