A Comparative Study on Big Data Analytics Frameworks, Data Resources and Challenges

Autor:	Razan Al-Omoush, Flasteen Abuqabita, Jaber Alwidian
Rok vydání:	2019
Předmět:	Multidisciplinary business.industry Analytics Computer science Big data Batch processing business Data science Stream analytics Data resources
Zdroj:	Modern Applied Science. 13:1
ISSN:	1913-1852 1913-1844
Popis:	Recently, huge amount of data has been generated in all over the world; these data are very huge, extremely fast and varies in its type. In order to extract the value from this data and make sense of it, a lot of frameworks and tools are needed to be developed for analyzing it. Until now a lot of tools and frameworks were generated to capture, store, analyze and visualize it. In this study we categorized the existing frameworks which is used for processing the big data into three groups, namely as, Batch processing, Stream analytics and Interactive analytics, we discussed each of them in detailed and made comparison on each of them.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::831063edfc54f3afb6fd7e52476d4385 https://doi.org/10.5539/mas.v13n7p1 Zobrazit plný text záznamu