没有合适的资源?快使用搜索试试~ 我知道了~
大数据应用解决方案.doc
1.该资源内容由用户上传,如若侵权请联系客服进行举报
2.虚拟产品一经售出概不退款(资源遇到问题,请及时私信上传者)
2.虚拟产品一经售出概不退款(资源遇到问题,请及时私信上传者)
版权申诉
0 下载量 112 浏览量
2023-03-08
01:28:12
上传
评论 1
收藏 1.94MB DOC 举报
温馨提示
![preview](https://dl-preview.csdnimg.cn/87544909/0001-d40966e9bd3f5a26b9bfc6d899c8c701_thumbnail-wide.jpeg)
![preview-icon](https://csdnimg.cn/release/downloadcmsfe/public/img/scale.ab9e0183.png)
试读
38页
大数据应用解决方案.doc
资源推荐
资源详情
资源评论
![pdf](https://img-home.csdnimg.cn/images/20210720083512.png)
![docx](https://img-home.csdnimg.cn/images/20210720083331.png)
![docx](https://img-home.csdnimg.cn/images/20210720083331.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![pdf](https://img-home.csdnimg.cn/images/20210720083512.png)
![pdf](https://img-home.csdnimg.cn/images/20210720083512.png)
![pdf](https://img-home.csdnimg.cn/images/20210720083512.png)
![rar](https://img-home.csdnimg.cn/images/20210720083606.png)
![pdf](https://img-home.csdnimg.cn/images/20210720083512.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![](https://csdnimg.cn/release/download_crawler_static/87544909/bg1.jpg)
大数据应用
解决方案
![](https://csdnimg.cn/release/download_crawler_static/87544909/bg2.jpg)
2 / 38
目 录
1. 大数据概述........................................................................................................................6
1.1. 概述............................................................................................................................6
1.2. 大数据定义................................................................................................................6
1.3. 大数据技术发展........................................................................................................8
2. 大数据应用......................................................................................................................11
2.1. 大数据应用阐述......................................................................................................11
2.2. 大数据应用架构......................................................................................................13
2.3. 大数据行业应用......................................................................................................13
2.3.1. 医疗行业..........................................................................................................13
2.3.2. 能源行业..........................................................................................................14
2.3.3. 通信行业..........................................................................................................14
2.3.4. 零售业..............................................................................................................15
3. 大数据解决方案..............................................................................................................16
3.1. 大数据技术组成......................................................................................................16
3.1.1. 分析技术..........................................................................................................16
3.1.1.1. 可视化分析.........................................................................16
3.1.1.2. 数据挖掘算法.....................................................................16
3.1.1.3. 预测分析能力.....................................................................16
3.1.1.4. 语义引擎 ............................................................................16
3.1.1.5. 数据质量和数据管理.........................................................17
3.1.2. 存储数据库......................................................................................................17
3.1.3. 分布式计算技术..............................................................................................18
3.2. 大数据处理过程......................................................................................................20
3.2.1. 采集..................................................................................................................20
3.2.2. 导入/预处理....................................................................................................21
3.2.3. 统计/分析........................................................................................................21
3.2.4. 挖掘..................................................................................................................21
3.3. 大数据处理的核心技术-Hadoop............................................................................21
3.3.1. Hadoop 的组成.................................................................................................22
3.3.2. Hadoop 的优点:.............................................................................................25
3.3.2.1. 高可靠性。.........................................................................25
3.3.2.2. 高扩展性。.........................................................................25
3.3.2.3. 高效性。 ............................................................................25
3.3.2.4. 高容错性。.........................................................................25
3.3.3. Hadoop 的不足.................................................................................................25
3.3.4. 主要商业性“大数据”处理方案..................................................................26
3.3.2.5. IBM InfoSphere 大数据分析平台....................................26
3.3.2.6. Or a c l e Bi g Da t aApplianc.................................27
3.3.2.7. Mi c r o s o f t S QLServer.......................................27
3.3.2.8. Sybase IQ ..........................................................................28
![](https://csdnimg.cn/release/download_crawler_static/87544909/bg3.jpg)
3 / 38
3.3.5. 其他“大数据”解决方案..............................................................................28
3.3.2.9. EMC ......................................................................................28
3.3.2.10. BigQuery ..........................................................................29
3.3.6. 大数据”与科技文献信息处理......................................................................29
3.4. 大数据处理技术发展前景......................................................................................29
3.4.1. 大数据复杂度降低..........................................................................................29
3.4.2. 大数据细分市场..............................................................................................30
3.4.3. 大数据开源......................................................................................................30
3.4.4. Hadoop 将加速发展.........................................................................................30
3.4.5. 打包的大数据行业分析应用..........................................................................30
3.4.6. 大数据分析的革命性方法出现......................................................................31
3.4.7. 大数据与云计算:深度融合............................................................................31
3.4.8. 大数据一体机陆续发布..................................................................................31
4. 基于基站大数据应用及案例..........................................................................................32
4.1. 气象灾害应急短信发布平台..................................................................................32
4.1.1. 概述..................................................................................................................32
4.1.1.1. 项目背景 ............................................................................32
4.1.1.2. 平台概述 ............................................................................32
4.1.2. 平台建设特点与原则......................................................................................32
4.1.2.1. 建设特点 ............................................................................32
4.1.2.2. 建设原则 ............................................................................32
4.1.2.3. 大数据管理平台特点.........................................................33
4.1.3. 平台整体架构..................................................................................................33
4.1.3.1. 建设原理 ............................................................................33
4.1.3.2. 平台总体设计 ........................................................................35
1. 平台总体结构..........................................................................................35
2. 平台技术架构..........................................................................................36
4.1.3.3. 平台技术思路.....................................................................37
4.1.3.4. 平台技术路线 ........................................................................38
1. 内存数据库..............................................................................................38
2. 短信发送多链路配置..............................................................................38
3. 队列缓存 .................................................................................................38
4. 参数可配置..............................................................................................38
4.1.3.5. 平台性能要求.....................................................................38
4.1.4. 平台网络拓扑..................................................................................................38
4.1.5. 平台关键流程..................................................................................................39
4.1.5.1. 平台数据流程.....................................................................39
4.1.5.2. 平台业务主流程.................................................................40
4.1.5.3. 短信下发审批流程.............................................................41
4.1.5.4. 信令分析处理流程.............................................................42
4.1.5.5. 短信发送流程.....................................................................43
4.1.6. 平台功能模块..................................................................................................43
![](https://csdnimg.cn/release/download_crawler_static/87544909/bg4.jpg)
4 / 38
4.1.6.1. 信令分析子系统.................................................................43
4.1.6.2. 短信发送子系统.................................................................44
1. 短信发送功能..........................................................................................44
2. 短信回执接收功能..................................................................................44
3. 短信批量发送管理功能..........................................................................45
4. 统计报表 .................................................................................................45
4.1.6.3. 管理子系统.........................................................................45
1. 用户管理 .................................................................................................45
2. 权限管理 .................................................................................................46
3. 实时监控 .................................................................................................46
4. 日志管理 .................................................................................................46
5. 基站位置信息管理..................................................................................46
6. 系统参数配置管理..................................................................................46
4.1.6.4. 内容数据库子系统.............................................................46
4.1.7. 平台外部接口..................................................................................................47
4.1.7.1. 信令采集接口.....................................................................47
1. 接口说明 .................................................................................................47
2. 数据采集模式..........................................................................................47
4.1.7.2. 短信发送接口.....................................................................47
1. 短信发送通知接口..................................................................................47
2. 短信发送状态查询接口..........................................................................47
3. 短信发送接口..........................................................................................47
4.1.7.3. 基站位置信息接口.............................................................48
1. 数据同步模式..........................................................................................48
2. 基站位置信息全量同步接口..................................................................48
3. 基站位置信息增量同步接口..................................................................48
4.2. 旅游客源分析..........................................................................................................48
4.2.1. 建设目标..........................................................................................................48
4.2.2. 整体方案..........................................................................................................49
4.2.2.1. 方案思路 ............................................................................49
4.2.2.2. 分析范围 ............................................................................49
4.2.2.3. 方案特点 ............................................................................50
4.2.3. 方案设计..........................................................................................................51
4.2.3.1. 系统关系 ............................................................................51
4.2.3.2. 系统架构 ............................................................................51
1. 数据分析后台能力..................................................................................52
2. Web 前台能力 .........................................................................................52
4.2.3.3. 数据采集 ............................................................................53
4.2.3.4. 业务分析 ............................................................................53
1. 总体分析流程..........................................................................................53
2. 景区综合流量统计分析..........................................................................54
3. 景区游客来源地构成分析......................................................................55
![](https://csdnimg.cn/release/download_crawler_static/87544909/bg5.jpg)
5 / 38
4. 景区全网总游客实时估算......................................................................57
5. 景区流量预判模型分析..........................................................................58
6. 景区流量上限告警..................................................................................59
7. 旅游景点热度排名分析..........................................................................59
8. 旅游线路归类统计..................................................................................60
9. 景区与相关场所关联分析......................................................................61
4.2.3.5. 界面功能介绍.....................................................................61
1. 菜单功能列表..........................................................................................62
2. 界面辅助功能介绍..................................................................................63
3. 运营部门应用 Portal...............................................................................64
4. 用户权限 .................................................................................................64
剩余37页未读,继续阅读
资源评论
![avatar-default](https://csdnimg.cn/release/downloadcmsfe/public/img/lazyLogo2.1882d7f4.png)
![avatar](https://profile-avatar.csdnimg.cn/ace77722cc904668be9c7ee0feb247ba_dwf1354046363.jpg!1)
![avatar-vip](https://csdnimg.cn/release/downloadcmsfe/public/img/user-vip.1c89f3c5.png)
易小侠
- 粉丝: 6509
- 资源: 9万+
![benefits](https://csdnimg.cn/release/downloadcmsfe/public/img/vip-rights-1.c8e153b4.png)
下载权益
![privilege](https://csdnimg.cn/release/downloadcmsfe/public/img/vip-rights-2.ec46750a.png)
C知道特权
![article](https://csdnimg.cn/release/downloadcmsfe/public/img/vip-rights-3.fc5e5fb6.png)
VIP文章
![course-privilege](https://csdnimg.cn/release/downloadcmsfe/public/img/vip-rights-4.320a6894.png)
课程特权
![rights](https://csdnimg.cn/release/downloadcmsfe/public/img/vip-rights-icon.fe0226a8.png)
开通VIP
上传资源 快速赚钱
我的内容管理 展开
我的资源 快来上传第一个资源
我的收益
登录查看自己的收益我的积分 登录查看自己的积分
我的C币 登录后查看C币余额
我的收藏
我的下载
下载帮助
![voice](https://csdnimg.cn/release/downloadcmsfe/public/img/voice.245cc511.png)
![center-task](https://csdnimg.cn/release/downloadcmsfe/public/img/center-task.c2eda91a.png)
安全验证
文档复制为VIP权益,开通VIP直接复制
![dialog-icon](https://csdnimg.cn/release/downloadcmsfe/public/img/green-success.6a4acb44.png)