Big Data Layers and Analytics: A Survey

Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 5)

Abstract

With the advancement in the Internet technologies, the amount of data in the world has been increased dramatically. Due to this large volume of data, the traditional data analysis method fails to handle and also it is difficult to store, capture, curation, search, analyze and visualization of data. To deal with this issue we adequate tools, techniques, algorithms, architecture and the design principles. Extraction of the key information from the large data is the major issue in the big data analytical community. To discuss this issue in detail, this paper begins with the brief introduction about the big data, characteristics and structure of the big data, followed by addressing the various layers big data value chain in detail. And also this paper provides the comprehensive survey about the types and sub-types of the analytical methods of big data.

Keywords

Big data analytics Data storage Analytical methods Data layers Data acquisition Social media analytics Audio/Video analytics 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  1. 1.Department of Information Science and TechnologyAnna UniversityChennaiIndia

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