Data analytics in massive manufacturing data can extract huge business values while can
also result in research challenges due to the heterogeneous data types, enormous volume …

The Big Data revolution promises to transform how we live, work, and think by enabling
process optimization, empowering insight discovery and improving decision making. The …

大数据管理:概念,技术与挑战 Page 1 大数据管理:概念,技术与挑战 孟小峰慈祥 (中国人民大学信息
学院北京100872) Big Data Management: Concepts, Techniques and Challenges Meng …

系统地分析和总结云计算的研究现状, 划分云计算体系架构为核心服务, 服务管理,
用户访问接口等3 个层次. 围绕低成本, 高可靠, 高可用, 规模可伸缩等研究目标 …

Cloud computing is a powerful technology to perform massive-scale and complex
computing. It eliminates the need to maintain expensive computing hardware, dedicated …

In this paper, we review the background and state-of-the-art of big data. We first introduce
the general background of big data and review related technologies, such as could …

Apache Spark has emerged as the de facto framework for big data analytics with its
advanced in-memory programming model and upper-level libraries for scalable machine …

Recent technological advancements have led to a deluge of data from distinctive domains
(eg, health care and scientific sensors, user-generated data, Internet and financial …

Analyzing large graphs provides valuable insights for social networking and web companies
in content ranking and recommendations. While numerous graph processing systems have …

Large-scale graph-structured computation is central to tasks ranging from targeted
advertising to natural language processing and has led to the development of several graph …