Scalability
Azure Data Lake Storage is designed to handle massive amounts of data, scaling as your data requirements grow, which allows for the efficient processing and storage of large datasets.
Cost-effectiveness
It offers a pay-as-you-go pricing model, which can be more cost-effective for businesses as it eliminates the need for large upfront investments in hardware.
Integration with Azure Ecosystem
Azure Data Lake Storage integrates seamlessly with other Azure services, such as Azure Databricks and Azure Synapse, facilitating easier data analysis, processing, and management.
Security Features
Robust security features include data encryption at rest and in transit, as well as fine-grained access controls, enabling enterprises to secure their data effectively.
Flexibility
Supports a wide range of data types, from structured to semi-structured to unstructured, allowing for versatile data management and processing capabilities.
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If you're deploying applications to the cloud, you'll need persistent data storage. Azure Blob Storage allows scalable storage for objects and files and provides an SDK to easily access them. Blob storage is a great trigger for Azure Functions, where uploading a file can automatically run your custom logic in the cloud (for example, if you wanted to run OCR on a file as soon as it's uploaded to a storage... - Source: dev.to / about 4 years ago
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