Review of Big Data Analytics (BDA) Architecture: Trends and Analysis

被引：0

作者：

Yong, Keh Kok ^{[1
]}

Shafei, Mohamad Syazwan ^{[1
]}

Sian, Pek Yin ^{[1
]}

Chua, Meng Wei ^{[1
]}

机构：

[1] Mimos Berhad, Accelerat Technol Lab, Kuala Lumpur, Malaysia

来源：

2019 IEEE CONFERENCE ON OPEN SYSTEMS (ICOS) | 2019年

关键词：

Big Data Analytics; BDA; AI; IOT; Data Management;

D O I：

10.1109/icos47562.2019.8975710

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The problem of constructing a big data analytics capabilities system, it is not only ingesting large volume of data, but also simultaneously computes vast volume and variety types of data, which is driven by required analytics use cases. This affects data architects, data engineers and data scientists in an organization to discover insight of data and turn to value. The promise of adopting a big data strategic architecture, it maximizes technologies capabilities in automate decision making and drives these values through innovation. A successful solution adopts a highly flexible and scalable architectural design to best-fit the organization BDA system. This paper surveys and discusses BDA and its architecture for applying the appropriate technologies.

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页码：34 / 39

页数：6

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