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Definition and scope of big data problem. / Lwin, Thurein Kyaw; Bogdanov, A. V.

ICCBDC 2018 - Proceedings of 2018 2nd International Conference on Cloud and Big Data Computing - ICIIP 2018 Workshop: 2018 the 7th International Conference on Intelligent Information Processing. Association for Computing Machinery, 2018. p. 38-41 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Lwin, TK & Bogdanov, AV 2018, Definition and scope of big data problem. in ICCBDC 2018 - Proceedings of 2018 2nd International Conference on Cloud and Big Data Computing - ICIIP 2018 Workshop: 2018 the 7th International Conference on Intelligent Information Processing. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 38-41, 2018 2nd International Conference on Cloud and Big Data Computing, ICCBDC 2018 and its Workshop 2018 7th International Conference on Intelligent Information Processing, ICIIP 2018, Barcelona, Spain, 3/08/18. https://doi.org/10.1145/3264560.3264571

APA

Lwin, T. K., & Bogdanov, A. V. (2018). Definition and scope of big data problem. In ICCBDC 2018 - Proceedings of 2018 2nd International Conference on Cloud and Big Data Computing - ICIIP 2018 Workshop: 2018 the 7th International Conference on Intelligent Information Processing (pp. 38-41). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3264560.3264571

Vancouver

Lwin TK, Bogdanov AV. Definition and scope of big data problem. In ICCBDC 2018 - Proceedings of 2018 2nd International Conference on Cloud and Big Data Computing - ICIIP 2018 Workshop: 2018 the 7th International Conference on Intelligent Information Processing. Association for Computing Machinery. 2018. p. 38-41. (ACM International Conference Proceeding Series). https://doi.org/10.1145/3264560.3264571

Author

Lwin, Thurein Kyaw ; Bogdanov, A. V. / Definition and scope of big data problem. ICCBDC 2018 - Proceedings of 2018 2nd International Conference on Cloud and Big Data Computing - ICIIP 2018 Workshop: 2018 the 7th International Conference on Intelligent Information Processing. Association for Computing Machinery, 2018. pp. 38-41 (ACM International Conference Proceeding Series).

BibTeX

@inproceedings{300fcf054a3e40119be0ea56001552a4,
title = "Definition and scope of big data problem",
abstract = "This article examines what is BigData, the current state of affairs, CAP Theorem, prospects for development and BigData problems. Today the volumes of information grow exponentially in order to respond faster to changes in IT field, to obtain competitive advantages, to increase production efficiency, it is necessary to obtain, process and analyze a huge amount of data. The biggest problem with the large data is the cost of processing. The equipment will have to be updated on a regular basis. So, it does not lose a minimal performance when the amount of data increases. The second problem is again related to the large amount of information that needs to be processed. BigData opens up new horizons for technology in planning production, education, healthcare and other industries. If their development continues, BigData technologies can raise information, as a factor of production, to a whole new level of quality. Information will not only be equal to labor and capital, but also it will probably become the most important resource of the modern technology.",
keywords = "Analysis data, Big Data, Big data development, CAP, Component, Information processing, IT, Large Data, Systematization",
author = "Lwin, {Thurein Kyaw} and Bogdanov, {A. V.}",
year = "2018",
month = aug,
day = "3",
doi = "10.1145/3264560.3264571",
language = "English",
isbn = "9781450364744",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "38--41",
booktitle = "ICCBDC 2018 - Proceedings of 2018 2nd International Conference on Cloud and Big Data Computing - ICIIP 2018 Workshop",
address = "United States",
note = "2018 2nd International Conference on Cloud and Big Data Computing, ICCBDC 2018 and its Workshop 2018 7th International Conference on Intelligent Information Processing, ICIIP 2018 ; Conference date: 03-08-2018 Through 05-08-2018",

}

RIS

TY - GEN

T1 - Definition and scope of big data problem

AU - Lwin, Thurein Kyaw

AU - Bogdanov, A. V.

PY - 2018/8/3

Y1 - 2018/8/3

N2 - This article examines what is BigData, the current state of affairs, CAP Theorem, prospects for development and BigData problems. Today the volumes of information grow exponentially in order to respond faster to changes in IT field, to obtain competitive advantages, to increase production efficiency, it is necessary to obtain, process and analyze a huge amount of data. The biggest problem with the large data is the cost of processing. The equipment will have to be updated on a regular basis. So, it does not lose a minimal performance when the amount of data increases. The second problem is again related to the large amount of information that needs to be processed. BigData opens up new horizons for technology in planning production, education, healthcare and other industries. If their development continues, BigData technologies can raise information, as a factor of production, to a whole new level of quality. Information will not only be equal to labor and capital, but also it will probably become the most important resource of the modern technology.

AB - This article examines what is BigData, the current state of affairs, CAP Theorem, prospects for development and BigData problems. Today the volumes of information grow exponentially in order to respond faster to changes in IT field, to obtain competitive advantages, to increase production efficiency, it is necessary to obtain, process and analyze a huge amount of data. The biggest problem with the large data is the cost of processing. The equipment will have to be updated on a regular basis. So, it does not lose a minimal performance when the amount of data increases. The second problem is again related to the large amount of information that needs to be processed. BigData opens up new horizons for technology in planning production, education, healthcare and other industries. If their development continues, BigData technologies can raise information, as a factor of production, to a whole new level of quality. Information will not only be equal to labor and capital, but also it will probably become the most important resource of the modern technology.

KW - Analysis data

KW - Big Data

KW - Big data development

KW - CAP

KW - Component

KW - Information processing

KW - IT

KW - Large Data

KW - Systematization

UR - http://www.scopus.com/inward/record.url?scp=85056706827&partnerID=8YFLogxK

U2 - 10.1145/3264560.3264571

DO - 10.1145/3264560.3264571

M3 - Conference contribution

AN - SCOPUS:85056706827

SN - 9781450364744

T3 - ACM International Conference Proceeding Series

SP - 38

EP - 41

BT - ICCBDC 2018 - Proceedings of 2018 2nd International Conference on Cloud and Big Data Computing - ICIIP 2018 Workshop

PB - Association for Computing Machinery

T2 - 2018 2nd International Conference on Cloud and Big Data Computing, ICCBDC 2018 and its Workshop 2018 7th International Conference on Intelligent Information Processing, ICIIP 2018

Y2 - 3 August 2018 through 5 August 2018

ER -

ID: 53563530