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LeanBigData aims to enhance big data analytics by developing efficient management systems for both streaming and static data. The project focuses on integrating various data technologies to improve response times and streamline the data analysis process for businesses.
LeanBigData aims at addressing three open challenges in big data analytics: 1) The cost, in terms of resources, of scaling big data analytics for streaming and static data sources; 2) The lack of integration of existing big data management technologies and their high response time; 3) The insufficient end-user support leading to extremely lengthy big data analysis cycles.
LeanBigData will address these challenges by:Architecting and developing three resource-efficient Big Data management system…
UNIVERSIDAD POLITECNICA DE MADRID
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Spain, Madrid
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
Spain, POZUELO DE ALARCON MADRID
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
FOUNDATION FOR RESEARCH AND TECHNOLOGYHELLAS
Greece, Irakleio
Type: Research institute
Activity type: Research Organisations
SME: No
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