如何使用Azure Data Lake Store作为Azure ML的输入数据集? [英] How to use Azure Data Lake Store as an input data set for Azure ML?

问题描述

我正在将数据移到Azure Data Lake Store中，并使用Azure Data Lake Analytics对其进行处理.数据采用XML格式，我正在通过 XML提取器.现在，我想从Azure ML访问此数据，目前似乎不直接支持Azure Data Lake存储.

I am moving data into Azure Data Lake Store and processing it using Azure Data Lake Analytics. Data is in form of XML and I am reading it through XML Extractor. Now I want to access this data from Azure ML and it looks like Azure Data Lake store is not directly supported at the moment.

将Azure Data Lake Store与Azure ML一起使用的可能方法是什么?

What are the possible ways to use Azure Data Lake Store with Azure ML?

推荐答案

目前，如您所述，Azure Data Lake Store不是受支持的源.也就是说，Azure Data Lake Analytics还可以用于将数据写出到Azure Blob存储，因此您可以将其用作在U-SQL中处理数据，然后将其上载以供Azure机器学习从Blob处理数据的方法.店铺.当Azure ML支持Data Lake存储时，您可以进行切换.

Right now, Azure Data Lake Store is not a supported source, as you note. That said, Azure Data Lake Analytics can also be used to write data out to Azure Blob Store, and so you can use that as an approach to process the data in U-SQL and then stage it for Azure Machine Learning to process it from Blob store. When Azure ML supports Data Lake store, then you can switch that over.

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