Big Data Layers and Analytics: A Survey
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
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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 acquisition Social media analytics Audio/Video analytics
Data layers
1 Introduction With the advancement of technology and rapid growth in the Internet, the volume of the information raised explosively. It is estimated from IBM, more than 2.5 quintillion bytes of data are generated and shared in every day. So the overall will grow more than 50 times by next decade. The overall data will grow by 50 times by 2020, operated in large part by more in embedded systems such as medical device, sensors in clothing etc. And also this study predicted that the unstructured
G. Manikandan (&) S. Abirami Department of Information Science and Technology, Anna University, Chennai 600025, India e-mail: [email protected] S. Abirami e-mail: [email protected] © Springer Nature Singapore Pte Ltd. 2017 S.C. Satapathy et al. (eds.), Computer Communication, Networking and Internet Security, Lecture Notes in Networks and Systems 5, DOI 10.1007/978-981-10-3226-4_39
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information from social media, Internet texts, files and video will be grows more than 90% for next few years. But the available IT professionals to manage these huge data will grow by 1.5 times in today’s scenario. The period of big data is not coming, it is here, the birth, growth and characteristic of the big data was defined in the year of 2000 itself. Today this might give sound to us but still we are concerning with actual doing and providing the ability for this modern era. In 1998, Google indexed around 1 million of web pages, after that it reached around 1 billion in the year of 2000, but quickly it exceeded 1 trillion in 2008, at present it increased dramatically. The reason is, the rapid expansion online social networking application such as Facebook, Weibo, Twitter etc., because that provides the users to create and share their contents freely. Due to this rapid growth of the data the traditional database techniques becomes inefficient in storing retrieving, processing and analyzing the data. Big data management and analysis is main basis for business and management. Big data management
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