Proceedings of the 2020 2nd International Conference on Big Data Engineering and Technology

Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scien...

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Detalles Bibliográficos
Otros Autores: De Silva, Liyanage C, editor (editor), Ching, Tang Loon, editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: New York, NY : Association for Computing Machinery 2020.
Colección:ACM Other conferences
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009712989206719
Descripción
Sumario:Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions and web logs; and are of large size (Volume) with fast data in/out (Velocity). 2020 2nd International Conference on Big Data Engineering and Technology is one of the premier events to network and learn from colleagues and other leading international scientific voices from across the world, who is actively engaged in advancing research and raising awareness of the many challenges in the diverse field of Big Data Engineering and Technology.
Descripción Física:1 online resource (126 pages)