Big Data Analytics: A Survey
Internet-based programs and communication techniques have become widely used and respected in the IT industry recently. A persistent source of "big data," or data that is enormous in volume, diverse in type, and has a complicated multidimensional structure, is internet applications and com...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Wasnaa Kadhim Jawad [verfasserIn] Abbas M. Al-Bakry [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Arabisch ; Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: Iraqi Journal for Computers and Informatics - University of Information Technology and Communications, 2017, 49(2022), 1, Seite 41-51 |
|---|---|
| Übergeordnetes Werk: |
volume:49 ; year:2022 ; number:1 ; pages:41-51 |
| Links: |
Link aufrufen |
|---|
| DOI / URN: |
10.25195/ijci.v49i1.384 |
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Internet-based programs and communication techniques have become widely used and respected in the IT industry recently. A persistent source of "big data," or data that is enormous in volume, diverse in type, and has a complicated multidimensional structure, is internet applications and communications. Today, several measures are routinely performed with no assurance that any of them will be helpful in understanding the phenomenon of interest in an era of automatic, large-scale data collection. Online transactions that involve buying, selling, or even investing are all examples of e-commerce. As a result, they generate data that has a complex structure and a high dimension. The usual data storage techniques cannot handle those enormous volumes of data. There is a lot of work being done to find ways to minimize the dimensionality of big data in order to provide analytics reports that are even more accurate and data visualizations that are more interesting. As a result, the purpose of this survey study is to give an overview of big data analytics along with related problems and issues that go beyond technology. |
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Internet-based programs and communication techniques have become widely used and respected in the IT industry recently. A persistent source of "big data," or data that is enormous in volume, diverse in type, and has a complicated multidimensional structure, is internet applications and communications. Today, several measures are routinely performed with no assurance that any of them will be helpful in understanding the phenomenon of interest in an era of automatic, large-scale data collection. Online transactions that involve buying, selling, or even investing are all examples of e-commerce. As a result, they generate data that has a complex structure and a high dimension. The usual data storage techniques cannot handle those enormous volumes of data. There is a lot of work being done to find ways to minimize the dimensionality of big data in order to provide analytics reports that are even more accurate and data visualizations that are more interesting. As a result, the purpose of this survey study is to give an overview of big data analytics along with related problems and issues that go beyond technology. |
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Internet-based programs and communication techniques have become widely used and respected in the IT industry recently. A persistent source of "big data," or data that is enormous in volume, diverse in type, and has a complicated multidimensional structure, is internet applications and communications. Today, several measures are routinely performed with no assurance that any of them will be helpful in understanding the phenomenon of interest in an era of automatic, large-scale data collection. Online transactions that involve buying, selling, or even investing are all examples of e-commerce. As a result, they generate data that has a complex structure and a high dimension. The usual data storage techniques cannot handle those enormous volumes of data. There is a lot of work being done to find ways to minimize the dimensionality of big data in order to provide analytics reports that are even more accurate and data visualizations that are more interesting. As a result, the purpose of this survey study is to give an overview of big data analytics along with related problems and issues that go beyond technology. |
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Big Data Analytics: A Survey |
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https://doi.org/10.25195/ijci.v49i1.384 https://doaj.org/article/28349f18ba3040fe97d90f617d60737d https://ijci.uoitc.edu.iq/index.php/ijci/article/view/384 https://doaj.org/toc/2313-190X https://doaj.org/toc/2520-4912 |
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Abbas M. Al-Bakry |
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Abbas M. Al-Bakry |
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| doi_str |
10.25195/ijci.v49i1.384 |
| up_date |
2024-07-03T13:50:22.669Z |
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