NDLI: Big Data : Emerging Challenges of Big Data and Techniques for Handling

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Big Data : Emerging Challenges of Big Data and Techniques for Handling

Content Provider	Semantic Scholar
Author	Padmavalli, M.
Copyright Year	2016
Abstract	Big Data is the large amount of data that cannot be processed by making use of traditional methods of data processing. Due to widespread usage of many computing devices such as smartphones, laptops, wearable computing devices; billions of people are connected to internet worldwide, generating large amount of data at the rapid rate. The data processing over the internet has exceeded more than the modern computers can handle. Due to this high growth rate, the term Big Data is envisaged. However, the fast growth rate of such large data generates numerous challenges, such as data analysis, Storage, quering, inconsistency and incompleteness, scalability, timeliness, and security. Key industry segments are heavily represented; financial services, where data is plentiful and data investments are substantial, and life sciences, where data usage is rapidly emerging. This paper provides a brief introduction to the Big data technology and its importance in the contemporary world. This paper addresses various challenges and issues that need to be emphasized to present the full influence of big data. The tools used in Big data technology are also discussed in detail. This paper also discusses the characteristics of Big data and the platform used in handling the Big Data as well as the efforts expected on big data mining.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://iosrjournals.org/iosr-jce/papers/Vol18-issue6/Version-4/C1806041318.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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