Big Data-Survey

Abstract

Big data is the term for any gathering of information sets, so expensive and complex, that it gets to be hard to process for utilizing customary information handling applications. The difficulties incorporate investigation, catch, duration, inquiry, sharing, stockpiling, Exchange, perception, and protection infringement. To reduce spot business patterns, anticipate diseases, conflict etc., we require bigger data sets when compared with the smaller data sets. Enormous information is hard to work with utilizing most social database administration frameworks and desktop measurements and perception bundles, needing rather enormously parallel programming running on tens, hundreds, or even a large number of servers. In this paper there was an observation on Hadoop architecture, different tools used for big data and its security issues.

Identifying a Medical Department Based on Unstructured Data: A Big Data Application in Healthcare

“…All these systems use machine learning models that require supervised learning involving a vast amount of data [16]. With the advent of Big Data [17] framework, it is now possible to handle volume, variety and velocity aspects of the data to draw value from the data using machine learning techniques. Big data framework has opened up a new set of possibilities in healthcare [18].…”

Internet of Things (IoT) in Agriculture Industries

“…One of the main challenges, when IoT started to be implemented, is the difficulties in capturing, visualizing, and analyzing the mega-data created by the sensors and devices [2]. Riggins [25] [29] described the big data with high volume, velocity, and variety of information assets, requires a new form of processing to enable enhanced decision making, process optimization, and insight discovery. Thus, one of the main challenges is the visualization of the results.…”