吴共庆
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大数据技术基础
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Course Introduction:本课程围绕“构建知识体系、阐明基本原理、引导初级实践、了解相关应用”的指导思想,对大数据处理知识体系进行系统梳理,做到“有序组织、去粗取精、由浅入深、渐次展开”。课程将系统讲授大数据的基本概念、大数据处理架构Hadoop、分布式文件系统HDFS、分布式并行编程模型MapReduce、分布式数据库HBase、分布式数据仓库Hive、大数据在互联网等领域的应用。在Hadoop、HDFS、MapReduc、HBase、Hive等重要章节,安排了入门级的实践操作,让学生更好地学习和掌握大数据关键技术。

Schedule:2018-10-05:翠三教101;2018-09-28:翠三教101;2018-11-02:翠三教101;2018-10-12:翠三教101;2018-10-19:翠三教101;2018-09-21:翠三教101;2018-10-26:翠三教101

Teacher:吴共庆

School Year:2018-2019

Semester:Autumn Term

Course number:0500185X

Credits:2.0

Course Type:Undergraduate Course:

Top-Quality Courses or Not:no

Maximum Number of Students:99

Required Class Hours:24.0

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School/Department:计算机与信息学院(人工智能学院)

Administrative Position:副院长

Education Level:With Certificate of Graduation for Doctorate Study

Gender:Male

Degree:Doctoral Degree in Engineering

Status:Employed

Alma Mater:合肥工业大学

Honors and Titles:

Xindong Wu, Fei Xie, Gong-Qing Wu, and Wei Ding. ICTAI 2011 Best Paper Award.  

Gongqing-Qing Wu and Xindong Wu, WI 2012 Best Paper Award  

Chenchen Sun, Xingrui Zhuo, Zhenya Lu, Chenyang Bu, and Gongqing Wu (Supervisor)ICKG 2022 Best Student Paper Award  

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