It is one of the standard procedures for integration of imaging devices like scanners, printers, network hardware, and servers that enables storage and communication of the medical images online.
Published in Chapter:
Big Data Analytics Tools and Platform in Big Data Landscape
Mohd Imran (Aligarh Muslim University, India), Mohd Vasim Ahamad (Aligarh Muslim University, India), Misbahul Haque (Aligarh Muslim University, India), and Mohd Shoaib (Aligarh Muslim University, India)
Copyright: © 2018
|Pages: 10
DOI: 10.4018/978-1-5225-3870-7.ch006
Abstract
The term big data analytics refers to mining and analyzing of the voluminous amount of data in big data by using various tools and platforms. Some of the popular tools are Apache Hadoop, Apache Spark, HBase, Storm, Grid Gain, HPCC, Casandra, Pig, Hive, and No SQL, etc. These tools are used depending on the parameter taken for big data analysis. So, we need a comparative analysis of such analytical tools to choose best and simpler way of analysis to gain more optimal throughput and efficient mining. This chapter contributes to a comparative study of big data analytics tools based on different aspects such as their functionality, pros, and cons based on characteristics that can be used to determine the best and most efficient among them. Through the comparative study, people are capable of using such tools in a more efficient way.