In this 1 hour long project-based course, we’ll learn to create a mapping data flow on the azure data factory. First, we’ll learn to create an azure data factory on the Azure portal. Then we’ll learn to create an azure storage account so that we could store the source data on the blob containers. We’ll learn to configure the source and the sink transformation. We’ll learn to work with basic data flow transformations such as select, filters, sort, joins , derived columns, and conditional split transformations. We’ll learn to create a simple mapping data flow in the azure data factory. We’ll also learn to create and combine multiple streams of data on mapping data flows. Finally, we’ll also learn to store the transformed data to the destination.
Create Mapping Data Flows in Azure Data Factory
Create Mapping Data Flows in Azure Data Factory
位教师：Priya Jha
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您将学到什么
Learn to create azure data factory and azure storage accounts
Learn to create mapping data flow in the Azure data factory
Learn to work with basic data flow transformations like - select, filters, sort, joins ,derived columns and conditional split transformations
您将练习的技能
要了解的详细信息
添加到您的领英档案
仅桌面可用
了解顶级公司的员工如何掌握热门技能
在 2 小时内学习、练习并应用岗位必备技能
- 接受行业专家的培训
- 获得解决实训工作任务的实践经验
- 使用最新的工具和技术来建立信心
关于此指导项目
分步进行学习
在与您的工作区一起在分屏中播放的视频中，您的授课教师将指导您完成每个步骤：
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Introduction and create an azure data factory
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Create a storage account and upload source files to the blob containers
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Use select transformation in mapping data flow
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Practice activity: Apply select transformation to rename, drop and reorder the column
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Use derived column transformation in mapping data flow
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Use join transformation in mapping data flow
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Use conditional split transformation in mapping data flow
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Use filter and sort transformation in mapping data flow
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Create a simple mapping data flow in azure data factory
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Cumulative Challenge Task: Create a mapping data flow to get the details of the male customers with their age sorted in an ascending order
10个项目图片
学习方式
基于技能的实践学习
通过完成与工作相关的任务来练习新技能。
专家指导
使用独特的并排界面，按照预先录制的专家视频操作。
无需下载或安装
在预配置的云工作空间中访问所需的工具和资源。
仅在台式计算机上可用
此指导项目专为具有可靠互联网连接的笔记本电脑或台式计算机而设计，而不是移动设备。
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