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Spatiotemporal Aspects of Big Data Cover

Spatiotemporal Aspects of Big Data

Applied Computer Systems
Volume 23 (2018): Issue 2 (December 2018)
By: Saadia Karim,  Tariq Rahim Soomro and  S. M. Aqil Burney  
Open Access
|Dec 2018

Authors

Saadia Karim

saadia.karim@iobm.edu.pk

CCSIS, Institute of Business Management, Karachi, Pakistan

Tariq Rahim Soomro

tariq.soomro@iobm.edu.pk

CCSIS, Institute of Business Management, Karachi, Pakistan

S. M. Aqil Burney

aqil.burney@iobm.edu.pk

CCSIS, Institute of Business Management, Karachi, Pakistan
DOI: https://doi.org/10.2478/acss-2018-0012 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
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Language: English
Page range: 90 - 100
Published on: Dec 31, 2018
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Apache Hadoop,
big data analytics,
spatiotemporal,
Samza,
Storm,
Spark,
Flink
Related subjects:
Computer sciences,
Artificial intelligence,
Information technology,
Project management,
Software development

© 2018 Saadia Karim, Tariq Rahim Soomro, S. M. Aqil Burney, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

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