使用天蓝色表存储的ETL [英] ETL using azure table storage
问题描述
有没有办法将存储在天蓝色表存储中的每分钟数据转换为每小时,每天和每月的表?
Is there a way i can transform per minute data logged in azure table storage to hourly ,daily and monthly tables?
我听说过流分析和数据湖,但不知道如何通过以上两种技术来完成.
I have heard of stream analytics and data lake but don't get how this can be done through above two technologies.
推荐答案
据我所知,我们可以使用 Azure数据工厂可以轻松地在azure门户上进行.请尝试按照我的详细步骤进行操作.
As I know we could do that with Azure Data Factory easily on the azure portal . Please have a try to follow my detail steps.
1.登录建立新门户网站
2.添加数据工厂
3.单击[复制数据(预览)]设置属性,我们可以根据需要设置重复模式为分钟,每小时,每天……
3.Click [Copy data (preview)] to set properties, we can set Recurring pattern as minute , hourly, daily …as we like
4.根据需要选择源数据存储,在演示中,我选择了azure blob表.
4.Choose the source data store as we like, in the demo I choose azure blob table.
5.指定新的Azure存储连接
5.Specify new Azure storage connection
6.从azure存储器中选择要复制数据的表
6.Select tables from the azure storage which to copy data
7.如果需要,请应用过滤器
7.Apply filter if we want to
8.选择目标数据存储
8.Select destination data store
9.表映射
10.选择并行复制设置
10.Select Parallel copy settings
11.获取设置摘要
12.我们可以检查是否已从数据工厂执行复制操作
12.We can check that copy action has been done from Data Factory
13.从Azure存储表中检查
13.Check from the Azure storage table
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