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Aktharunisa Begum, R.
- Big Data Using Map Reduce and Hadoop Expertise
Authors
Source
Fuzzy Systems, Vol 8, No 4 (2016), Pagination: 91-94Abstract
Today, the data is not only produced by people, but massive data is generated by machines also and it betters human generated data[1]. This data is spread across different places, in diverse formats, in large volumes ranging from Gigabytes to Terabytes, Petabytes, and exabytes. In unlike areas of expertise, data is being generated at different speeds. A few examples include stock exchange data, chirrups on Twitter, status updates/likes/shares on Facebook, data from sensors, images from medical devices, surveillance videos, satellites data and many others. "Big Data" refers to a collection of massive volume of heterogeneous data that is being generated, often at high speed, from different sources. Traditional data management and analysis systems fall short of tools to analyze these data thus there is a need of innovative set of tools and frameworks to capture, process and manage these data within a tolerable elapsed time. Thus the concept of Big data is catching popularity faster than anything else in this technological era. Big Data demand cost-effective, fault tolerant, scalable and flexible and innovative forms of information processing for decision making[2]. This paper emphasis on the features, architectures, and functionalities of Big data, Hadoop, Map Reduce, HDFS.
Keywords
Big Data, Hadoop, Zettabyte HDFS, MapReduce, Apache.
- A Cloud Based Protection for Social Networks Using Advanced Security Tool
Authors
Source
Fuzzy Systems, Vol 8, No 4 (2016), Pagination: 98-100Abstract
Now-a-days there are lots of security issues in cloud computing based social networks. The main focus on security issues in cloud computing that are associated with Social networks. for protecting a website there are using advanced security tool of eye scanner. This system process of capture user eyes verified cloud database of authenticate person or not for example the scanner used for identification purpose of Aathar card. This system is a process of capture a person eyes inner color and layer size to be stored the cloud database.[1][19] In our project is based on this system methodologies process identified the person eye color and layer mismatched verification of cloud database is true or false. When the person login even every time our website in this process executed concurrently,[19] This system is an efficient than the traditional methodologies followed earlier.