• Hot, frequently accessed data
• Cool, infrequently accessed data
• Archive, rarely accessed data

• Blob storage, file
  • general purpose file storge, fit any scenario
• Table storage, message
  • scalable NoSQL storage service for semi-structured data
• Queue storage, semi-structured data
  • service for storing small message for asynchronous processing
• File storage, file
  • file share service in the cloud, lift-and-shift scenarios

• Azure CLI
• brew update && brew install azure-cli

az login -u username -p passwd
                

pip install azure-storage-blob
            

from azure.storage.blob import BlobServiceClient, BlobClient, ContainerClient, __version__
            

# obtain connection string from Access Keys of a storage account
connect_str = <connection string>
            

# create a container
container_name = 'tempc2'
blob_service_client = BlobServiceClient.from_connection_string(connect_str) # BlobServiceClient

container_client = blob_service_client.create_container(container_name) # ContainerClient
            

# list blobs in a container
container_client = blob_service_client.get_container_client("tempc2") # ContainerClient
blob_list = container_client.list_blobs()
for blob in blob_list:
    print("\t" + blob.name)
            

# delete a container
container_client = blob_service_client.get_container_client("tempc2")
container_client.delete_container()
            

# upload a blob to container
# Create a blob client using the local file name as the name for the blob
blob_client = blob_service_client.get_blob_client(container='tempc2', blob='temp.csv') # BlobClient

with open('temp.csv', "rb") as data:
    blob_client.upload_blob(data)
            

# download a blobs
# Create a blob client using the blob name in the container
blob_client = blob_service_client.get_blob_client(container='tempc2', blob='temp.csv') # BlobClient

with open('temp2.csv', "wb") as download_file:
    download_file.write(blob_client.download_blob().readall())
            

# delete a blob
container_client = blob_service_client.get_container_client(container_name)
container_client.delete_blobs('temp.csv')