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TeraLab,一个安全的大数据平台:描述和用例

TeraLab, A Secure Big Data Platform: Description And Use Cases
课程网址: http://videolectures.net/dataforum2014_cotton_big_data/  
主讲教师: Franck Cotton
开课单位: 国立统计经济研究所
开课时间: 2014-03-31
课程语种: 英语
中文简介:

TeraLab大数据平台将于2014年开放。其架构将允许对大型数据集(包括高度机密数据)进行内存密集型和/或大规模并行处理。平台上将安装各种软件工具和有用数据集的目录。 TeraLab将支持广泛的研究和工业项目的开发,并为数据科学界的兴起做出贡献。本文快速概述了TeraLab平台架构,并提供了一些旨在支持的用例示例。

课程简介: The TeraLab Big Data platform will be opened in 2014. Its architecture will allow memory-intensive and/or massively parallel treatments on large data sets, including highly confidential data. A varied collection of software tools and a catalog of useful data sets will be installed on the platform. TeraLab will support the development of a wide range of research and industrial projects, and contribute to the emergence of a data science community. This paper gives a rapid overview of the TeraLab platform architecture, and presents some examples of use cases that it is designed to support.
关 键 词: 大数据; 数据集; 平台架构
课程来源: 视频讲座网
数据采集: 2021-03-24:zyk
最后编审: 2021-05-21:yumf
阅读次数: 47