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All Journal International Journal of Electrical and Computer Engineering Proceeding of the Electrical Engineering Computer Science and Informatics Indonesian Journal of Electrical Engineering and Computer Science Jurnal Generic
Siti Mariyam Shamsuddin
Universiti Teknologi Malaysia
Computer Science & IT Electrical & Electronics Engineering

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Big Data Platforms and Techniques Salisu Musa Borodo; Siti Mariyam Shamsuddin; Shafaatunnur Hasan
Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 1: January 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v1.i1.pp191-200

Abstract

Data is growing at unprecedented rate and has led to huge volume generated; the data sources include mobile, internet and sensors. This voluminous data is generated and updated at high velocity by batch and streaming platforms. This data is also varied along structured and unstructured types. This volume, velocity and variety of data led to the term big data. Big data has been premised to contain untapped knowledge, its exploration and exploitation is termed big data analytics. This literature reviewed platforms such as batch processing, real time processing and interactive analytics used in big data environments. Techniques used for big data are machine learning, Data Mining, Neural Network and Deep Learning. There are big data architecture offerings from Microsoft, IBM and National Institute of Standards and Technology. Big data potentials can transform economies and reduce running cost of institutions. Big data has challenges such as storage, computation, security and privacy
Co-Authors Abdirashid Salad Nur Bariah binti Yusob Detri Karya Eko Supriyanto Evizal Abdul Kadir Maslina Darus Nor Haizan Mohd Radzi Norsharina Abu Bakar Salisu Musa Borodo Sarina Sulaiman Shafaatunnur Hasan Sri Listia Rosa Syamsuryadi Syamsuryadi Syazwa Mad Jais Usman Muhammad Tukur Wahyudi Sutopo