Blending big data analytics: review on challenges and a recent study

• Main Authors: Fairuz, Amalina, Targio Hashem, Ibrahim Abaker, Azizul, Zati, Fong, Ang Tan, Ahmad Firdaus, Zainal Abidin, Imran, M., Nor Badrul, Anuar
• Format: Article
• Language: English
• Published: IEEE 2020
• Subjects: QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/27712/1/Blending%20Big%20Data%20Analytics%20Review%20on%20Challenges.pdf; http://umpir.ump.edu.my/id/eprint/27712/; https://doi.org/10.1109/ACCESS.2019.2923270; https://doi.org/10.1109/ACCESS.2019.2923270
• Institution: Universiti Malaysia Pahang

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.