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 …

Many business cases exploiting big data have been realised in recent years; Twitter,
LinkedIn, and Facebook are examples of companies in the social networking domain. Other …

大数据分析相比于传统的数据仓库应用, 具有数据量大, 查询分析复杂等特点.
为了设计适合大数据分析的数据仓库架构, 文中列举了大数据分析平台需要具备的几个重要特性 …

Advances in information technology and its widespread growth in several areas of business,
engineering, medical, and scientific studies are resulting in information/data explosion …

在科学研究, 计算机仿真, 互联网应用, 电子商务等诸多应用领域, 数据量正在以极快的速度增长,
为了分析和利用这些庞大的数据资源, 必须依赖有效的数据分析技术. 传统的关系数据管理技术 …

With widespread advances in machine learning, a number of large enterprises are
beginning to incorporate machine learning models across a number of products. These …

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 …

Distributed stream processing systems need to support stateful processing, recover quickly
from failures to resume such processing, and reprocess an entire data stream quickly. We …

One of the major applications of future generation parallel and distributed systems is in big-
data analytics. Data repositories for such applications currently exceed exabytes and are …

Growing main memory capacity has fueled the development of in-memory big data
management and processing. By eliminating disk I/O bottleneck, it is now possible to support …