Azure Blob Storage

About Azure Blob Storage

Microsoft's object storage solution for the cloud, optimized for storing massive amounts of unstructured data. Offers hot, cool, and archive access tiers for cost optimization. Ideal for serving images, documents, streaming video and audio, data lakes, backup and disaster recovery, and big data analytics.

Key Features

• 1Massively scalable object storage for unstructured data in Azure
• 2Access tiers: Hot, Cool, and Archive for cost-optimized data lifecycle
• 3Azure Data Lake Storage Gen2 built on Blob with hierarchical namespace
• 4Event Grid integration triggers processing on blob creation
• 5Immutable storage policies for compliance and audit requirements

How Python Data Engineers Use Azure Blob Storage

Python data engineers use the `azure-storage-blob` SDK to read raw files from Blob Storage, process them with pandas or PySpark, and write results back as Parquet. Azure Blob Storage is the standard data lake for Azure-based pipelines — Databricks, Synapse, and Data Factory all read from and write to Blob Storage natively.