Blending big data analytics: review on challenges and a recent study
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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/27712/1/Blending%20Big%20Data%20Analytics%20Review%20on%20Challenges.pdf |
| _version_ | 1796993944017436672 |
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| author | Fairuz, Amalina Targio Hashem, Ibrahim Abaker Azizul, Zati Fong, Ang Tan Ahmad Firdaus, Zainal Abidin Imran, M. Nor Badrul, Anuar |
| author_facet | Fairuz, Amalina Targio Hashem, Ibrahim Abaker Azizul, Zati Fong, Ang Tan Ahmad Firdaus, Zainal Abidin Imran, M. Nor Badrul, Anuar |
| author_sort | Fairuz, Amalina |
| collection | UMP |
| description | 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. |
| first_indexed | 2024-03-06T12:40:45Z |
| format | Article |
| id | UMPir27712 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:40:45Z |
| publishDate | 2020 |
| publisher | IEEE |
| record_format | dspace |
| spelling | UMPir277122020-06-29T07:43:43Z http://umpir.ump.edu.my/id/eprint/27712/ Blending big data analytics: review on challenges and a recent study Fairuz, Amalina Targio Hashem, Ibrahim Abaker Azizul, Zati Fong, Ang Tan Ahmad Firdaus, Zainal Abidin Imran, M. Nor Badrul, Anuar QA76 Computer software 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. IEEE 2020 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/27712/1/Blending%20Big%20Data%20Analytics%20Review%20on%20Challenges.pdf Fairuz, Amalina and Targio Hashem, Ibrahim Abaker and Azizul, Zati and Fong, Ang Tan and Ahmad Firdaus, Zainal Abidin and Imran, M. and Nor Badrul, Anuar (2020) Blending big data analytics: review on challenges and a recent study. IEEE Access, 8 (8737669). pp. 3629-3645. ISSN 2169-3536. (Published) https://doi.org/10.1109/ACCESS.2019.2923270 https://doi.org/10.1109/ACCESS.2019.2923270 |
| spellingShingle | QA76 Computer software Fairuz, Amalina Targio Hashem, Ibrahim Abaker Azizul, Zati Fong, Ang Tan Ahmad Firdaus, Zainal Abidin Imran, M. Nor Badrul, Anuar Blending big data analytics: review on challenges and a recent study |
| title | Blending big data analytics: review on challenges and a recent study |
| title_full | Blending big data analytics: review on challenges and a recent study |
| title_fullStr | Blending big data analytics: review on challenges and a recent study |
| title_full_unstemmed | Blending big data analytics: review on challenges and a recent study |
| title_short | Blending big data analytics: review on challenges and a recent study |
| title_sort | blending big data analytics review on challenges and a recent study |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/27712/1/Blending%20Big%20Data%20Analytics%20Review%20on%20Challenges.pdf |
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