Big Data Platforms and Techniques
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 v...
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| Main Authors: | , , |
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| Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2016-01-01.
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| Subjects: | |
| Online Access: | Get fulltext |
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| LEADER | 02232 am a22002893u 4500 | ||
|---|---|---|---|
| 001 | ijeecs197_4182 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Borodo, Salisu Musa |e author |
| 700 | 1 | 0 | |a Shamsuddin, Siti Mariyam |e author |
| 700 | 1 | 0 | |a Hasan, Shafaatunnur |e author |
| 245 | 0 | 0 | |a Big Data Platforms and Techniques |
| 260 | |b Institute of Advanced Engineering and Science, |c 2016-01-01. | ||
| 500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/197 | ||
| 520 | |a 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 | ||
| 540 | |a Copyright (c) 2015 Indonesian Journal of Electrical Engineering and Computer Science | ||
| 546 | |a eng | ||
| 690 | |a Computer; Machine Learning; Big Data and Soft Computing | ||
| 690 | |a Big data; big data architecture; big data techniques; big data platform | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 1, No 1: January 2016; 191-200 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v1.i1 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/197/4182 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/197/4182 |z Get fulltext |