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Azure Data Lake Storage
service · part of Azure
A scalable and secure data lake for high-performance analytics workloads.
It handles both structured and unstructured data, and best practices include organizing data into folders for different processing stages (raw, processed, final output) and using partitioning to improve query performance. Example: A retail company collects sales data from multiple regions, processes it with Azure Databricks, and uses insights to train ML models for sales prediction and inventory optimization.
Connections
- Uses Azure Databricks
- Related to Azure Blob Storage
- Alternative to Azure SQL Database
- Used for Azure ML Service
Also known as: Azure Data Lake Storage, Data Lake Storage
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