| 开本：16开 |
| 纸张：胶版纸 |
| 包装：平装-胶订 |
| 是否套装：否 |
| 国际标准书号ISBN：9787115664358 |
| 所属分类：图书>计算机/网络>数据库>数据仓库与数据挖掘 |
团购优惠，咨询在线客服重磅推荐
内容简介
内 容 提 要本书针对大数据、云计算、软件技术、信息管理和其他相关专业学生的发展需求，系统、全面地介绍了数据科学和大数据技术的基本知识和技能，详细介绍了数据科学基础、大数据的概论、大数据的行业应用、大数据的基础存储方式、大数据技术基础、 分布式平台、大数据分析、数据可视化以及大数据价值，本书将通过浅显易懂的案例，将枯燥的技术或者数学知识简化至适合高职院校学生的层次，让读者在学习过程中获得成就感，从而激发学生的学习兴趣。本书既包括数据科学、大数据的基本知识，大数据技术的各个环节的初探，每个章节也会涵盖在大数据理论和大数据技术在典型行业的具体应用，帮助读者在建立初步的大数据思维概念后，为后续深入学 数据技术打下良好的基础。本书适用于高职院校一年级、二年级大数据相关专业，以及对于大数据有浓厚兴趣的学生使用。
作者简介
贺宁，从事大数据技术与应用专业相关教学和科研工作；主持建设 批大数据技术与应用专业；主持阿里巴巴大数据分析与应用证书初级书籍编写（出版中），主持江苏省高校自然科学基金面上项目课题项，主持常州市龙城英才第八批项目项，参与 资源库课程建设项，参与 十三五研究课题《社区停车设施升级改造重点产品与装备研发》项目建设，主编《大数据可视化技术》书籍本（已出版），个人申请软件著作权项，指导学生申请实用新型专利项，指导学生申请软件著作权项。。
目 录
第 章 绪论及数据科学 ····························· 实例描述：评价哪个班级的考试成绩 好？ ················································ 数据科学简述 ··································· 数据科学的来源 ···································· 数据科学的基本内容 ···························· 数据科学的应用领域 ······················· 在计算机编程领域 ································ 在数据库领域 ········································ 数据处理流程 ······································ 数据科学所在的行业领域 ·················· 数据科学与统计学领域 ················· 统计学领域 ·········································· 概率论领域 ·········································· 数据领域 ·············································· 进阶案例——奥运会数据分析 ·············· 本章小结 ················································ 同步训练 ················································ 第 章 大数据概述 ································· 实例描述—— 电网公司数据治理实践 ················································ 初识大数据 ····································· 大数据的概念 ································· 大数据的特征 ································· ·················································· ··················································· ················································· ····················································· ················································· 大数据的存储 ································· 文件交互期 ·········································· 可扩展性解决方案 ······························ 容量和性能突破 ·································· 云文件系统的兴起 ······························ 数据类型 ········································· 结构化数据类型 ·································· 半结构化数据类型 ······························ 非结构化数据类型 ······························ 大数据的技术与应用 ····················· 大数据技术 ·········································· 大数据的应用 ······································ 大数据的挑战 ······································ 大数据的································· 进阶案例——智慧农业大数据案例 ······ 本章小结 ················································ 同步训练 ················································ 第 章 大数据采集与预处理 ·················· 实例描述：飞机如何加固钢板提升士兵生还率 ·············································· 大数据来源 ····································· 交易数据 ·············································· 移动通信数据 ······································ 人为数据 ·············································· 机器和传感器数据 ······························ 互联网开放数据 ·································· 常用数据平台·································· 大数据采集 ····································· 数据采集设备 ······································ 日志采集与用户行为链路分析 ·········· 大数据采集技术 ·································· 大数据概论（慕课版） 数据预处理概述 ····························· 数据清洗 ·············································· 数据集成 ·············································· 数据归约 ·············································· 进阶案例——数据采集之网络爬虫 ······ 本章小结 ··············································· 同步训练 ················································ 第 章 大数据存储 ································· 实例描述： 在阿里巴巴集团中的应用实践 ················································ 传统存储技术 ································· 存储的概念与作用 ······························ 存储体系结构 ······································ 存储解决方案分类 ······························ 数据库技术 ····································· 数据库的概念 ······································ 数据库技术的发展 ······························ 数据库分类 ·········································· 数据库体系架构 ·································· 云存储 ············································· 云存储的概念与特性 ·························· 云存储的结构模型 ······························ 云存储的应用模式 ······························ 新兴数据存储技术 ························· 新兴数据库技术 ·································· 数据库未来发展趋势 ·························· 大数据存储 ·········································· 数据中心与数据仓库 ·························· 进阶案例—— 外个人云存储产品分析（个人云存储） ······························ 本章小结 ················································ 同步训练 ················································ 第 章 大数据计算平台 ························ 实例描述大数据计算平台 ···· 云计算基本认知 ··························· 云计算定义与概念 ···························· 云计算平台种类 ································ 云计算的基础架构 ···························· 云平台的服务类型 ···························· 开源项目与商业化云平台 ················ 大数据存储与管理技术 ··············· 大数据存储的多样化 ························ 大数据管理技术 ································ 大数据处理关键技术 ························ 分布式平台 ····················· 的发展历史 ··························· 生态系统 ······························· ·················································· ········································· 其他组件 ······························· 平台的搭建 ··························· ·············································· 平台架构 ·································· 的优势 ······································ 进阶案例——用大数据集群计算某地气温变化 ·············································· 本章小结 ·············································· 同步训练 ·············································· 第 章 大数据分析与挖掘 ···················· 实例描述：求职网站数据分析用工具进行数据分析 ································ 数据分析与数据挖掘的概念 ······· 数据分析 ············································ 数据挖掘 ············································ 大数据分析方法 ··························· 大数据采集技术 ································ 大数据预处理 ···································· 大数据存储与管理技术 ···················· 大数据分析与挖掘技术 ···················· 大数据可视化技术 ···························· 大数据分析应用工具 ··················· 传统的分析统计工具 ························ 新型的大数据分析实用工具 ············ 使用 进行数据分析 ·········· 目录 数据对象 ············································ 文件读取 ············································ 文件存储 ············································ 分组与聚合 ········································ 数据挖掘 ······································· 数据挖掘之分类 ································ 数据挖掘之聚类 ································ 数据挖掘之关联规则 ························ 基于大数据的机器学习 ··············· 进阶案例——航空公司客户分析基于 聚类算法进行数据分析 ········ 本章小结 ·············································· 同步训练 ·············································· 第 章 数据可视化 ······························· 实例描述——用 工具实现数据可视化 ············································ 数据可视化之美 ··························· 数据可视化的作用 ······················· 数据可视化分类 ································ 数据可视化流程 ································ 数据可视化原则 ································ 数据可视化的作用 ···························· 数据可视化的经典图表 ··············· 线图与柱状图 ································ 饼图与环状图 ···································· 雷达图与气泡图 ································ 词云图与地图 ···································· 实用的数据可视化的工具集合 ····· ··················································· ················································ ················································ 数据可视化编程工具 ························ 数据可视化的实现——以 为例 ························ 使用 绘制柱形图 ············· 使用 绘制线图 ············· 使用 绘制饼图 ················· 使用 绘制散点图 ············· 使用 绘制子图 ················· 进阶案例—— 年 生产总值案例分析 ······
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基本信息（以实物为准）
商品名称：大数据概论（慕课版）
作者：贺宁，丁慧 定 开
出版社：人民邮电 号 页数
出版时间 版次 商品类型：图书
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内容简介
内 容 提 要本书针对大数据、云计算、软件技术、信息管理和其他相关专业学生的发展需求，系统、全面地介绍了数据科学和大数据技术的基本知识和技能，详细介绍了数据科学基础、大数据的概论、大数据的行业应用、大数据的基础存储方式、大数据技术基础、 分布式平台、大数据分析、数据可视化以及大数据价值，本书将通过浅显易懂的案例，将枯燥的技术或者数学知识简化至适合高职院校学生的层次，让读者在学习过程中获得成就感，从而激发学生的学习兴趣。本书既包括数据科学、大数据的基本知识，大数据技术的各个环节的初探，每个章节也会涵盖在大数据理论和大数据技术在典型行业的具体应用，帮助读者在建立初步的大数据思维概念后，为后续深入学 数据技术打下良好的基础。本书适用于高职院校一年级、二年级大数据相关专业，以及对于大数据有浓厚兴趣的学生使用。
作者简介
贺宁，从事大数据技术与应用专业相关教学和科研工作；主持建设 批大数据技术与应用专业；主持阿里巴巴大数据分析与应用证书初级书籍编写（出版中），主持江苏省高校自然科学基金面上项目课题项，主持常州市龙城英才第八批项目项，参与 资源库课程建设项，参与 十三五研究课题《社区停车设施升级改造重点产品与装备研发》项目建设，主编《大数据可视化技术》书籍本（已出版），个人申请软件著作权项，指导学生申请实用新型专利项，指导学生申请软件著作权项。。
目 录
第 章 绪论及数据科学 ····························· 实例描述：评价哪个班级的考试成绩 好？ ················································ 数据科学简述 ··································· 数据科学的来源 ···································· 数据科学的基本内容 ···························· 数据科学的应用领域 ······················· 在计算机编程领域 ································ 在数据库领域 ········································ 数据处理流程 ······································ 数据科学所在的行业领域 ·················· 数据科学与统计学领域 ················· 统计学领域 ·········································· 概率论领域 ·········································· 数据领域 ·············································· 进阶案例——奥运会数据分析 ·············· 本章小结 ················································ 同步训练 ················································ 第 章 大数据概述 ································· 实例描述—— 电网公司数据治理实践 ················································ 初识大数据 ····································· 大数据的概念 ································· 大数据的特征 ································· ·················································· ··················································· ················································· ····················································· ················································· 大数据的存储 ································· 文件交互期 ·········································· 可扩展性解决方案 ······························ 容量和性能突破 ·································· 云文件系统的兴起 ······························ 数据类型 ········································· 结构化数据类型 ·································· 半结构化数据类型 ······························ 非结构化数据类型 ······························ 大数据的技术与应用 ····················· 大数据技术 ·········································· 大数据的应用 ······································ 大数据的挑战 ······································ 大数据的································· 进阶案例——智慧农业大数据案例 ······ 本章小结 ················································ 同步训练 ················································ 第 章 大数据采集与预处理 ·················· 实例描述：飞机如何加固钢板提升士兵生还率 ·············································· 大数据来源 ····································· 交易数据 ·············································· 移动通信数据 ······································ 人为数据 ·············································· 机器和传感器数据 ······························ 互联网开放数据 ·································· 常用数据平台·································· 大数据采集 ····································· 数据采集设备 ······································ 日志采集与用户行为链路分析 ·········· 大数据采集技术 ·································· 大数据概论（慕课版） 数据预处理概述 ····························· 数据清洗 ·············································· 数据集成 ·············································· 数据归约 ·············································· 进阶案例——数据采集之网络爬虫 ······ 本章小结 ··············································· 同步训练 ················································ 第 章 大数据存储 ································· 实例描述： 在阿里巴巴集团中的应用实践 ················································ 传统存储技术 ································· 存储的概念与作用 ······························ 存储体系结构 ······································ 存储解决方案分类 ······························ 数据库技术 ····································· 数据库的概念 ······································ 数据库技术的发展 ······························ 数据库分类 ·········································· 数据库体系架构 ·································· 云存储 ············································· 云存储的概念与特性 ·························· 云存储的结构模型 ······························ 云存储的应用模式 ······························ 新兴数据存储技术 ························· 新兴数据库技术 ·································· 数据库未来发展趋势 ·························· 大数据存储 ·········································· 数据中心与数据仓库 ·························· 进阶案例—— 外个人云存储产品分析（个人云存储） ······························ 本章小结 ················································ 同步训练 ················································ 第 章 大数据计算平台 ························ 实例描述大数据计算平台 ···· 云计算基本认知 ··························· 云计算定义与概念 ···························· 云计算平台种类 ································ 云计算的基础架构 ···························· 云平台的服务类型 ···························· 开源项目与商业化云平台 ················ 大数据存储与管理技术 ··············· 大数据存储的多样化 ························ 大数据管理技术 ································ 大数据处理关键技术 ························ 分布式平台 ····················· 的发展历史 ··························· 生态系统 ······························· ·················································· ········································· 其他组件 ······························· 平台的搭建 ··························· ·············································· 平台架构 ·································· 的优势 ······································ 进阶案例——用大数据集群计算某地气温变化 ·············································· 本章小结 ·············································· 同步训练 ·············································· 第 章 大数据分析与挖掘 ···················· 实例描述：求职网站数据分析用工具进行数据分析 ································ 数据分析与数据挖掘的概念 ······· 数据分析 ············································ 数据挖掘 ············································ 大数据分析方法 ··························· 大数据采集技术 ································ 大数据预处理 ···································· 大数据存储与管理技术 ···················· 大数据分析与挖掘技术 ···················· 大数据可视化技术 ···························· 大数据分析应用工具 ··················· 传统的分析统计工具 ························ 新型的大数据分析实用工具 ············ 使用 进行数据分析 ·········· 目录 数据对象 ············································ 文件读取 ············································ 文件存储 ············································ 分组与聚合 ········································ 数据挖掘 ······································· 数据挖掘之分类 ································ 数据挖掘之聚类 ································ 数据挖掘之关联规则 ························ 基于大数据的机器学习 ··············· 进阶案例——航空公司客户分析基于 聚类算法进行数据分析 ········ 本章小结 ·············································· 同步训练 ·············································· 第 章 数据可视化 ······························· 实例描述——用 工具实现数据可视化 ············································ 数据可视化之美 ··························· 数据可视化的作用 ······················· 数据可视化分类 ································ 数据可视化流程 ································ 数据可视化原则 ································ 数据可视化的作用 ···························· 数据可视化的经典图表 ··············· 线图与柱状图 ································ 饼图与环状图 ···································· 雷达图与气泡图 ································ 词云图与地图 ···································· 实用的数据可视化的工具集合 ····· ··················································· ················································ ················································ 数据可视化编程工具 ························ 数据可视化的实现——以 为例 ························ 使用 绘制柱形图 ············· 使用 绘制线图 ············· 使用 绘制饼图 ················· 使用 绘制散点图 ············· 使用 绘制子图 ················· 进阶案例—— 年 生产总值案例分析 ······
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商品名称：大数据概论（慕课版）
作者：贺宁，丁慧 定 开
出版社：人民邮电 号 页数
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