| title | description | services | documentationcenter | author | manager | editor | ms.assetid | ms.service | ms.workload | ms.tgt_pltfrm | ms.devlang | ms.topic | ms.date | ms.author |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Move Data to and from Azure Blob Storage | Microsoft Docs |
Move Data to and from Azure Blob Storage |
machine-learning,storage |
bradsev |
jhubbard |
cgronlun |
d6681e30-ab45-45ea-a9fb-ac8acefe544d |
machine-learning |
data-services |
na |
na |
article |
12/16/2016 |
bradsev;sachouks |
[!INCLUDE cap-ingest-data-selector]
[!INCLUDE blob-storage-tool-selector]
Which method is best for you depends on your scenario. The Scenarios for advanced analytics in Azure Machine Learning article helps you determine the resources you need for a variety of data science workflows used in the advanced analytics process.
Note
For a complete introduction to Azure blob storage, refer to Azure Blob Basics and to Azure Blob Service.
As an alternative, you can use Azure Data Factory to:
- create and schedule a pipeline that downloads data from Azure blob storage,
- pass it to a published Azure Machine Learning web service,
- receive the predictive analytics results, and
- upload the results to storage.
For more information, see Create predictive pipelines using Azure Data Factory and Azure Machine Learning.
This document assumes that you have an Azure subscription, a storage account, and the corresponding storage key for that account. Before uploading/downloading data, you must know your Azure storage account name and account key.
- To set up an Azure subscription, see Free one-month trial.
- For instructions on creating a storage account and for getting account and key information, see About Azure storage accounts.