Big data architecture evolution: 2014 and beyond
Big data architecture evolution: 2014 and beyond
复制标题
大数据架构演变：2014 年及以后
DOI：
10.1145/2656346.2656358
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Emanuel S. Grant
中科院分区：
文献类型：
--
作者：
Atif Farid Mohammad;H. Mcheick;Emanuel S. Grant
本文旨在开发大数据架构，以及它与分析，云服务和商业智能的关系。上述所有内容的主要目的是使企业架构和组织目标的愿景能够利用它们所输入的所有数据，并将数据回归到其短期或长期分析需求中，同时确保它们在此类数据架构的设计阶段为直接和间接相关的利益相关者提供解决方案。因为所有利益攸关方都有其利用转换后的数据集的相关利益。本文还确定了大数据架构的大部分，大数据系统中的威胁分析和大数据分析路线图，通过进行差距分析，在较小的组件方面具有重要意义，作为基线大数据架构，目标是最终生成的架构，一旦主要大数据架构的蒸馏过程由数据架构师完成。
This paper aims at developing the Big Data Architecture, and its relation with Analytics, Cloud Services as well as Business Intelligence. The chief aim from all mentioned is to enable the Enterprise Architecture and the Vision of an Organizational target to utilize all the data they are ingesting and regressing data for their short-term or long-terms analytical needs, while making sure that they are addressing during the design phase of such data architecture for both directly and indirectly related stakeholder. Since all stakeholders have their relative interests to utilize the transformed data-sets. This paper also identifies most of the Big Data Architecture, threat analysis within a Big Data System and Big Data Analytic Roadmaps, in terms of smaller components by conducting a gap-analysis that has significant importance as Baseline Big Data Architecture, targeting the end resultant Architectures, once the distillation process of main Big Data Architecture is completed by the Data Architects.