云计算与大数据

本书系统阐述了云计算与大数据的知识体系，涵盖基础概念与高级应用，深入解析云计算的架构、技术、虚拟化等核心内容，详细探讨大数据的技术架构、处理过程及关键技术，聚焦于云计算与大数据的融合与创新应用，在数据中心、个性化服务及数字化转型，特别是在政府、工业、医疗、教育、金融等领域的创新应用。内容紧贴时代前沿，并借助丰富案例与直观思维导图，使云计算与大数据的知识更易于理解与掌握。同时，融入思政教育，以提升学生的社会责任并塑造正确价值观，致力于培育拥有高尚职业操守的全方面人才。本书既可作为高等院校云计算与大数据专业的教材，也是云计算与大数据从业者及爱好者的必备参考。

马燕妮，女，1988年生，山东日照人，博士，硕士生导师，西安工程大学讲师。主要研究方向为农村金融、数字金融、产业链融资等。已在《农业技术经济》《当代经济科学》《上海经济研究》等CSSCI期刊发表论文4篇，出版专著1部，主持省部级及厅局级项目3项。胡磊，男，1984年10月出生，毕业于黑龙江大学自动化专业，大学本科。现任教于齐齐哈尔高等师范专科学校，职称讲师。主要从事计算机应用领域教学与研究工作。工作期间，参与省市级课题多项，参编规划教材1部，指导多名学生参加人工智能相关竞赛获国家级奖项，具有丰富的教学经验。吕俊峰，1986年生，电子与通信工程硕士，讲师。新疆第二医学院生物学工程学院信息科学教研室专任教师。国家注册电气工程师，主要研究方向为计算机科学，发表论文6篇。申请专利3项。参与省级课题一项。

第 1 篇 云计算
第 1 章 云计算概述 003
1.1 初识云计算·························································004
1.2 云计算架构·························································008
第 2 章 云计算技术 030
2.1 分布式存储技术···················································032
2.2 云计算网络·························································043
2.3 云计算安全技术···················································048
2.4 云操作系统·························································051
2.5 云开发技术·························································053
2.6 云存储 ····························································055
2.7 云计算运维·························································063
第 3 章 虚拟化技术 066
3.1 虚拟化技术概述···················································067
3.2 虚拟化技术原理···················································076
3.3 虚拟化技术解决方案·············································081
3.4 常见虚拟化技术的应用实践····································087
第２篇 大数据
第 4 章 大数据概述 103
4.1 大数据的内涵、4V 特征及分类 ·······························104
目录
CONTENTS
YUNJISUAN YU DASHUJU
云计算与大数据
4.2 大数据的相关介绍················································109
第 5 章 大数据技术架构 122
5.1 大数据技术架构概述·············································123
5.2 大数据技术架构类型·············································127
5.3 Hadoop 生态架构 ·················································131
5.4 Spark 生态架构····················································137
5.5 Flink 生态架构·····················································143
第 6 章 大数据技术 154
6.1 大数据采集与数据预处理技术·································155
6.2 大数据存储技术···················································161
6.3 大数据计算技术···················································164
6.4 大数据挖掘技术···················································168
6.5 大数据分析技术···················································170
6.6 大数据可视化技术················································172
第 3 篇 云计算与大数据的融合与应用
第 7 章 云计算与大数据的融合 179
7.1 云计算在大数据中的应用·······································180
7.2 大数据在云计算中的应用·······································185
7.3 云计算与大数据融合应用的发展趋势························189
第 8 章 云计算与大数据的应用 192
8.1 云计算与大数据在数字政府建设中的应用··················194
8.2 云计算与大数据在工业领域的应用···························200
8.3 云计算与大数据在医疗领域的应用···························204
8.4 云计算与大数据在金融领域的应用···························207
8.5 云计算与大数据在教育领域的应用 ························210
附 录 216
参考文献 217