Volume
Variety
Velocity
Veracity
Value
容量大 （Volume）,指大 规模的数据量，并 且数据量呈持续增 长趋势。
种类多（Variety）, 速度快
真实性
价值密度低
指数据来自多种数 （Velocity）,指的 （Veracity），即 （Value），指随着
据源，数据种类和 是数据被创建和移 追求高质量的数据。 数据量的增长，数
1.日志采集系统 （Apache Flume、Scribe）
3.数据库采集系统 （关系型、nosql等 各种数据库）
大数据采集应用
5
技能准备
数据库基础（SQL语句操作） Linux操作系统基本操作 Python基础
环境准备
数据库（mysql） Jdk( java环境) Python
Thanks
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[数据采集与清洗]
2019|02|15 周乐
什么是大数据 大数据的主要特征 大数据处理流程 大数据采集的概念 大数据采集应用
什么是大数据
1
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依据你最近的阅读 行为和消费行为进 行引荐
依据时节改变进行 引荐
依据你用的设备往 来不断猜特征.
依据购物行为偏好 引荐
行业现状与前景
大数据工作首先 写入政府工作报 告
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A vs B
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42%
21%
28% 9%
OKPPT工作室
3
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格式。
动的速度。
据中有意义的信息
却没有成相应比例
增长。
大数据处理流程
3
大数据处理流程
数据统计分析 就是对上面
已经完成的存储在大型分
数据采集 就是利用 多种数据库（关系型，
布式数据库中的数据进行 归类统计，可以满足一般 场景的分析需求。
数据展示 就是对 以上处理完的结果 进行分析，或者形 成报表。
2014-03
『十三五规划纲 要』提出『实施 国家大数据战 略』 』
2016-03
2018 年 《 政 府 工 作报告》提出： 实施大数据发展 行动，注重用互 联网、大数据等 提升监管效能
2018
2015-08
国务院发布《促 进大数据发展的 行动纲要》
2017-10
十九大提出推动 大数据战略，与 实体经济深度融 合
2019年人社部拟最新发布15项新职业
1.大数据工程技术人员 2.云计算工程技术人员 3.人工智能工程技术人员 4.物联网工程技术人员 5....
什么是大数据
大数据（Big Data）是指无法使用
传统和常用的软件技术和工具在一定时 间内完成获取、管理和处理的数据集
2
大数据的主要特征
大数据主要特征
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终挖掘数据的潜在价值。ETL指的是Extract-Transform-Load，也就是抽取、转换、 加载。
抽取->从各种数据源获取数据 转换->按需求格式将源数据转换为目标数据 加载->把目标数据加载到数据仓库中
大数据采集系统
2.网络数据采集系统 （Scrapy 框架、 Apache Nutch）
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1、什么是数据采集 数据采集就是数据获取，数据源主要分为线上数据和内容数据
2、数据采集与大数据采集的区别 传统数据采集：来源单一，数据量相当小；结构单一；关系数据库和并行数据库 大数据的数据采集：来源广泛，数量巨大；数据类型丰富；分布式数据库
3、大数据采集技术方法 大数据采集技术就是对数据进行 ETL 操作，通过对数据进行提取、转换、加载，最
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NOSQL）去存储不
同来源的数据。
数据挖掘 是对数据进
行基于各种算法的分析
计算，从而起到预测的
数据预处理 就是将种数据库
数据分析的需求。
导入到大型的分布式数
据库中（目前主要是
hfds或hive）,并同时
做一些简单的清洗和预
处理工作。
4
大数据采集的概念
大数据采集的概念
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