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Big Data and New Data Warehousing Approaches (CROSBI ID 657139)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Ptiček, Marina ; Vrdoljak, Boris Big Data and New Data Warehousing Approaches // Proceedings of the 2017 International Conference on Cloud and Big Data Computing. The Association for Computing Machinery (ACM), 2017. str. 6-10 doi: 10.1145/3141128.3141139

Podaci o odgovornosti

Ptiček, Marina ; Vrdoljak, Boris

engleski

Big Data and New Data Warehousing Approaches

Big data are a data trend present around us mainly through Internet – social networks and smart devices and meters – mostly without us being aware of them. Also they are a fact that both industry and scientific research needs to deal with. They are interesting from analytical point of view, for they contain knowledge that cannot be ignored and left unused. Traditional system that supports the advanced analytics and knowledge extraction – data warehouse – is not able to cope with large amounts of fast incoming various and unstructured data, and may be facing a paradigm shift in terms of utilized concepts, technologies and methodologies, which have become a very active research area in the last few years. This paper provides an overview of research trends important for the big data warehousing, concepts and technologies used for data storage and (ETL) processing, and research approaches done in attempts to empower traditional data warehouses for handling big data.

databases ; data warehouse ; big data ; MapReduce ; NoSQL ; NewSQL

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Podaci o prilogu

6-10.

2017.

objavljeno

10.1145/3141128.3141139

Podaci o matičnoj publikaciji

Proceedings of the 2017 International Conference on Cloud and Big Data Computing

The Association for Computing Machinery (ACM)

978-1-4503-5343-4

Podaci o skupu

International Conference on Cloud and Big Data Computing (ICCBDC 2017)

predavanje

17.09.2017-19.09.2017

London, Ujedinjeno Kraljevstvo

Povezanost rada

Računarstvo

Poveznice