Paper Info
Title
Blending Big Data Analytics: Review on Challenges and a Recent Study.
Abstract
With the collection of massive amounts of data every day, big data analytics has emerged as an important trend for many organizations. These collected data can contain important information that may be key to solving wide-ranging problems, such as cyber security, marketing, healthcare, and fraud. To analyze their large volumes of data for business analyses and decisions, large companies, such as Facebook and Google, adopt analytics. Such analyses and decisions impact existing and future technology. In this paper, we explore how big data analytics is utilized as a technique for solving problems of complex and unstructured data using such technologies as Hadoop, Spark, and MapReduce. We also discuss the data challenges introduced by big data according to the literature, including its six V's. Moreover, we investigate case studies of big data analytics on various techniques of such analytics, namely, text, voice, video, and network analytics. We conclude that big data analytics can bring positive changes in many fields, such as education, military, healthcare, politics, business, agriculture, banking, and marketing, in the future.
Year
DOI
Venue
2020
10.1109/ACCESS.2019.2923270
IEEE ACCESS
Keywords
Field
DocType
Big Data,Data analysis,Tools,Social networking (online),Computer languages,Companies,Big data analytics,data analytics,deep learning,machine learning
Data science,Computer science,Big data,Distributed computing
Journal
Volume
ISSN
Citations 
8
2169-3536
1
PageRank 
References 
Authors
0.35
0
7
Name
Order
Citations
PageRank
Fairuz Amalina110.35
Ibrahim Abaker Targio Hashem246121.85
Zati Hakim Azizul310.35
Tan Fong Ang410.69
Ahmad Firdaus510.35
Muhammad Imran6848.01
Nor Badrul Anuar763536.94