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The Basics of Azure Data Factory

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20 Oct 2018CPOL6 min read 10.9K   3  
How to transform raw data into actionable business insights with Azure Data Factory
Azure Data Factory allows businesses to organize raw data into meaningful data stores and data lakes, thus enabling businesses to make better decisions. In this article, we will take a look at four steps typically carried out by Azure Data Factory’s pipelines. We will also look at some high level concepts.

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)


Written By
Chief Technology Officer SocialVoice.AI
Ireland Ireland
Allen is CTO of SocialVoice (https://www.socialvoice.ai), where his company analyses video data at scale and gives Global Brands Knowledge, Insights and Actions never seen before! Allen is a chartered engineer, a Fellow of the British Computing Society, a Microsoft mvp and Regional Director, and C-Sharp Corner Community Adviser and MVP. His core technology interests are BigData, IoT and Machine Learning.

When not chained to his desk he can be found fixing broken things, playing music very badly or trying to shape things out of wood. He currently completing a PhD in AI and is also a ball throwing slave for his dogs.

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