| title | description | services | documentationcenter | author | manager | editor | ms.assetid | ms.service | ms.workload | ms.tgt_pltfrm | ms.devlang | ms.topic | ms.date | ms.author |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Azure Machine Learning automated data pipeline cheat sheet | Microsoft Docs |
A printable cheat sheet that shows you how to set up an automated data pipeline to your Azure Machine Learning web service whether your data is on-premise, streaming, in Azure, or in a third-party cloud service. |
machine-learning |
garyericson |
jhubbard |
cgronlun |
22674d6b-4491-4805-a3ac-d423611177bb |
machine-learning |
data-services |
na |
na |
article |
12/12/2016 |
mithal;garye |
The Microsoft Azure Machine Learning automated data pipeline cheat sheet helps you navigate through the technology you can use to get your data to your Machine Learning web service where it can be scored by your predictive analytics model.
Depending on whether your data is on-premises, in the cloud, or streaming real-time, there are different mechanisms available to move the data to your web service endpoint for scoring. This cheat sheet walks you through the decisions you'll need to make and offers links to articles that will help you develop your solution.
Once you download the cheat sheet, you can print it in tabloid size (11 x 17 in.).
Download the cheat sheet here: Microsoft Azure Machine Learning automated data pipeline cheat sheet
- For an overview of Microsoft Azure Machine Learning, see Introduction to machine learning on Microsoft Azure.
- For an explanation of how to deploy a scoring web service, see Deploy an Azure Machine Learning web service.
- For a discussion of how to consume a scoring web service, see How to consume an Azure Machine Learning web service that has been deployed from a Machine Learning experiment.
[!INCLUDE machine-learning-free-trial]