二、业务需求

M 公司是伴随移动互联网而成长起来的企业,数据是其业务运营的基本“血液”,如何保持数据高效顺畅地流动,同时发挥数据的应用作用,是 M 公司必须面对的现实问题。[br][br]
[b](一)M 生态大数据[/b][br][br] M 公司作为智能硬件制造商,所生产的产品几乎都跟移动互联网紧密相关,都能产生数据,所以从某种意义上 M 公司可以看作是一家销售智能产品的大数据公司。迄今为止,M 公司已售出销售总数位居国内前列的手机、电视和机顶盒产品,并且路由器、手环、扫地机器人、空气净化器、传感器和电饭煲等诸多生态链智能产品的销量已形成相当规模。在软件方面,M 公司的操作系统是国内安装量较大的智能终端操作系统之一。与此同时,各类 App 使用、搜索、购物、社交、娱乐等已成为 M 公司大数据的重要来源,如 M 公司的应用商店最高日下载量超过 8 000 万次,M 公司内置的新闻资讯产品日活跃也近千万人。附图 12 为 M生态大数据构成。[br][br][img]data:image/png;base64,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[/img][br] 附图 12 M 生态大数据构成[br][br]
[b] (二)M 云平台[/b][br][br] 与 M 手机销量快速上升相对应的是 M 用户数据量的急剧提升,M 云平台是支撑各项业务运营和数据存储处理的基本载体。M 云平台包括两个定位:一是为 M 公司的各项业务提供云端平台性支持;二是为 M 公司的用户和 M 生态链合作伙伴提供优质的云服务。M 云是 M云平台的最重要产品,如附图 13 所示的三个部分组成。[br][br] [img]data:image/png;base64,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[/img] [br] 附图 13 M 云的组成
1. 个人云服务平台[br][br] 个人云服务平台即用户的数据中心,主要面向 M 用户提供云支持服务,能够为用户提供备份和存储功能。用户的联系人、短信、照片和便签等数据都由用户存储备份到个人云服务平台。[br][br] 2. M 内部云[br][br] M 内部云主要提供以下三种服务:[br][br] (1)为各大业务提供互联网云端服务,如为 M 公司的手机等设备提供天气、浏览器、日历、游戏中心等内置的 App 服务。[br][br] (2)为 M 公司的各业务部门提供大数据存储、计算、分析、挖掘的能力和资源,充分发挥大数据的价值,为用户提供更好的个性化服务。[br][br] (3)为内部的研发、运维和测试团队提供一个完备的物理机和虚拟机资源池。[br][br] 3. M 生态云[br][br] M 生态云主要为 M 公司的生态链合作伙伴提供一个一站式的云服务、一个 PaaS(Platform-as-a-Service,平台即服务)平台和一个应用引擎,让所有生态链企业的互联网业务都能高效地接到云端,与 M 云和 M 大数据平台实现有效对接。M 生态云可以高效地融合各种数据,帮助生态链企业实现业务云端化,为它们提供包括账户管理、信息安全和大数据等服务,让它们能够更好地服务自己的用户。[br][br] 伴随生态大数据的形成所带来的是数据规模的快速扩大,M 云平台日活跃用户超过 1 亿人,存储总量达到数百个 PB(1 PB=1 024 TB),并且每时每刻都在不断增加。由此可见,海量的数据为 M 公司如何更好地管理和应用大数据提出了极为严峻的挑战。
[b] (三)M 大数据的应用需求[br][/b][br] M 公司拥有海量大数据资源的根本目的是更好地开发和利用大数据资源,以产生大数据[br]应用的价值。从大的方面来看,M 大数据的应用主要包括以下六个方面:[br][br] (1)广告营销:作为核心应用,用于点击预估、人群画像、营销 DMP(Data-ManageMent Platform,数据管理平台)和精准营销等。[br][br] (2)搜索和推荐:为用户提供较为精准的搜索和个性化的推荐服务。[br][br] (3)互联网金融:为用户提供征信评价以及融资服务支持。[br][br] (4)精细化运营:根据用户的个性化需求提供具有针对性的服务,实现运营的精细化。[br][br] (5)防“黄牛”抢购:利用大数据识别为牟利而囤货的购买行为,打击“黄牛”抢购。[br][br] (6)图片分析和处理:用于照片分享、图片在线处理以及图像分析等。[br][br]

Información: 二、业务需求