Ins and Outs of Big Data: A Review

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Fältnamn	Indikatorer	Metadata
000		02640naa a2200361 4500
001		oai:DiVA.org:mdh-33799
003		SwePub
008		161121s2016 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-337992 URI
024	7	a https://doi.org/10.1007/978-3-319-51234-1_72 DOI
040		a (SwePub)mdh
041		a engb eng
042		9 SwePub
072	7	a ref2 swepub-contenttype
072	7	a kon2 swepub-publicationtype
100	1	a Rahman, Hamiduru Mälardalens högskola,Inbyggda system4 aut0 (Swepub:mdh)rhr01
245	1 0	a Ins and Outs of Big Data :b A Review
264		c 2017-01-21
264	1	a Cham :b Springer International Publishing,c 2016
338		a print2 rdacarrier
520		a Today with the fast development of digital technologies and advance communications a gigantic amount of data sets with massive and complex structures called ‘Big data’ is being produced everyday enormously and exponentially. Again, the arrival of social media, advent of smart homes, offices and hospitals are connected as Internet of Things (IoT), this influence also a lot to Big data. According to the study, Big data presents data sets with large magnitude including structured, semi-structured or unstructured data. The study also presents the new technologies for data analyzing, collecting, fast searching, proper sharing, exact storing, speedy transferring, hidden pattern visualization and violations of privacy etc. This paper presents an overview of ins and outs of Big Data where the content, scope, samples, methods, advantages, challenges and privacy of Big data have been discussed. The goal of this article is to provide big data knowledge to the research community for the sake of its many real life applications such as traffic management, driver monitoring, health care in hospitals, meteorology and so on.
650	7	a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronikx Datorsystem0 (SwePub)202062 hsv//swe
650	7	a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineeringx Computer Systems0 (SwePub)202062 hsv//eng
653		a Big data Issue
653		a Framework
653		a Analytics
653		a Challenges
653		a Tools
700	1	a Begum, Shahinau Mälardalens högskola,Inbyggda system4 aut0 (Swepub:mdh)sbm02
700	1	a Ahmed, Mobyen Uddinu Mälardalens högskola,Inbyggda system4 aut0 (Swepub:mdh)mad02
710	2	a Mälardalens högskolab Inbyggda system4 org
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-33799
856	4 8	u https://doi.org/10.1007/978-3-319-51234-1_7

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