To add a data store
to your workspace, you can register it using the graphical interface in
Azure Machine Learning Studio, or you can use the Azure
Machine Learning SDK. For example, registering an Azure Storage
Blob containers, a datastore names
blob underscore data. You can view and
manage datastores in Azure Machine Learning
Studio or you can use the Azure Machine
Learning SDK. For example, using
a for-loop to list the names of each datastore
in the workspace, you can then get a reference to any datastore by using
the datastore get method. The workspace always includes
a default datastore, which you can retrieve
by using the get default datastore method
of a workspace object. The default datastore
is initially built in workspace
blob store datastore. When planning for datastore, consider the
following guidelines : When using Azure Blob Storage, premium level
storage may provide improved IO performance
for large datasets. However, this option will
increase cost and may limit replication options
for data redundancy. When working with
data files although CSV format is very common, Parquet format generally
results in better performance. You can access any
datastore by name, but you may want to consider changing the default datastore, which is initially the built-in workspace blob store datastore. To change the default datastore, use the set default
datastore method.