Explore the words cloud of the BigDataStack project. It provides you a very rough idea of what is the project "BigDataStack" about.
The following table provides information about the project.
Coordinator |
IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD
Organization address contact info |
Coordinator Country | Israel [IL] |
Project website | http://www.bigdatastack.eu/ |
Total cost | 4˙999˙712 € |
EC max contribution | 4˙999˙712 € (100%) |
Programme |
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)) |
Code Call | H2020-ICT-2017-1 |
Funding Scheme | RIA |
Starting year | 2018 |
Duration (year-month-day) | from 2018-01-01 to 2020-12-31 |
Take a look of project's partnership.
The new data-driven industrial revolution highlights the need for big data technologies to unlock the potential in various application domains. 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. With an emphasis on standardisation and open source contributions targeting high impact, BigDataStack will enable data operations and data-intensive applications to take full advantage of the developed technologies, exhibiting their applicability through three commercial use cases from the maritime, market and financing domains.
Use case description and implemement - M18 | Documents, reports | 2020-01-31 17:18:12 |
Data Management Plan | Open Research Data Pilot | 2020-01-31 17:18:12 |
Exploitation plan and business potential - M18 | Documents, reports | 2020-01-31 17:18:11 |
Conceptual model and Reference architecture - II | Documents, reports | 2020-01-31 17:18:12 |
Initial publication package | Documents, reports | 2020-01-31 17:18:12 |
State of the art and Requirements analysis - I | Documents, reports | 2020-01-31 17:18:11 |
Project Management Plan | Documents, reports | 2020-01-31 17:18:12 |
Innovation Potential: Initial Plan and Activities | Documents, reports | 2020-01-31 17:18:11 |
WP 4 Scientific Report and Prototype Description - Y1 | Documents, reports | 2020-01-31 17:18:11 |
WP 5 Scientific Report and Prototype Description - Y1 | Documents, reports | 2020-01-31 17:18:12 |
Requirements & State of the Art Analysis - II | Documents, reports | 2020-01-31 17:18:11 |
Conceptual model and Reference architecture - I | Documents, reports | 2020-01-31 17:18:12 |
Dissemination and Standardisation | Documents, reports | 2020-01-31 17:18:11 |
WP 3 Scientific Report and Prototype description - Y1 | Documents, reports | 2020-01-31 17:18:12 |
Take a look to the deliverables list in detail: detailed list of BigDataStack deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2019 |
Bin Cheng ; Gürkan Solmaz ; Flavio Cirillo ; Ernö Kovacs ; Kazuyuki Terasawa ; Atsushi Kitazawa FogFlow: Easy Programming of IoT Services Over Cloud and Edges for Smart Cities published pages: , ISSN: 1533-5399, DOI: |
IEEE INTERNET OF THINGS JOURNAL | 2020-01-31 |
2019 |
Guy Khazma, Paula Ta-Shma, Oshrit Feder, Gal Lushi, Yosef Moatti Big Data Skipping in the Cloud published pages: , ISSN: , DOI: |
Systor 2019 | 2020-01-31 |
2019 |
Nikolaos Koutroumanis
Georgios M. Santipantakis
Apostolos Glenis
Christos Doulkeridis
George A. Vouros Integration of Mobility Data with Weather Information published pages: , ISSN: , DOI: 10.5281/zenodo.2563133 |
EDBT/ICDT 2019 Joint Conference | 2020-01-31 |
2019 |
Fadel Argerich, M., Cheng B., Fürst, J Reinforcement Learning Based Orchestration for Elastic Services published pages: , ISSN: , DOI: |
2019 IEEE 5th World Forum on Internet of Things | 2020-01-31 |
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "BIGDATASTACK" project.
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Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "BIGDATASTACK" are provided by the European Opendata Portal: CORDIS opendata.
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