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O'Reilly Platform
book
大数据项目管理:从规划到实现
by
Ted Malaska
,
Jonathan Seidman
January 2020
Beginner to intermediate
155 pages
3h 17m
Chinese
Posts & Telecom Press
Content preview from
大数据项目管理:从规划到实现
企业元数据
|
107
来源
数据的谱系,例如,数据是从源系统收集的还是由转换作业生成的。
6.2.2
动态数据
我们已经讨论了静态数据的元数据,接下来介绍动态数据的元数据。在现代数据架构中,
可以通过多种方式摄取数据,来看看其中的一些方法。
1.
批次传输
在批次传输模式下会定时发送数据,然后将其以记录批次的形式存入系统中。批次传输的
常用方法是通过
FTP
、
SCP
或切换到对象存储。数据可以采用
CSV
、
JSON
、二进制等格
式进行传输,而且通常会被压缩,如图
6-2
所示。
数据源
暂存
目的地
图
6-2
:批次数据传输
2.
流式传输或微批次传输
在采用流式传输或微批次传输时,数据会在系统中持续移动。物联网中的传感器数据
就是一个例子。通常,管道中的某个位置会存在某种形式的可扩展管道(例如消息队
列或
Kafka
),后面会有一个服务,对流式数据进行转换并将其摄取到目标位置,如图
6-3
所示。
数据源
管道
目的地
图
6-3
:流式数据传输
3.
应用程序操作
在这个架构中,数据存储直接连接到应用程序,应用程序直接将数据写入这些数据存储。
不过,操作数据存储与分析数据存储相分离的情况变得越来越普遍。这意味着即使应用程
108
|
第
6
章
序有一个操作数据存储,它也会使用批处理或流处理将数据推送到外部的分析数据存储。
这种工作流如图 ...
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Publisher Resources
ISBN: 9787115457363