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AZ-900: Which Azure Service Should Be Used to Store Large Amounts of Unstructured Data for Web Applications and Analytics?

Which Azure service is best for storing large volumes of unstructured data such as text, images, and videos for web applications and analytics? Learn why Azure Blob Storage is the ideal solution for scalable, cloud-based object storage.

Table of Contents

Question

A company needs a solution to store large amounts of data that can be accessed by their web application and processed by their analytics platform. The data is unstructured and includes text, images, and videos. Which Azure service should they use for storage?

A. Azure Blob Storage
B. Azure Table Storage
C. Azure Files
D. Azure Disk Storage
E. Azure Queues

Answer

A. Azure Blob Storage

Explanation

Azure Blob Storage is designed for storing unstructured data, such as text, images, videos, and backups. It is highly scalable and suitable for big data analytics applications.

The best Azure service for storing large amounts of unstructured data—including text, images, and videos—that needs to be accessed by web applications and processed by analytics platforms is Azure Blob Storage.

  • Unstructured Data Support: Azure Blob Storage is specifically designed to store unstructured data, which does not adhere to a particular data model or schema. This includes text files, images, videos, backups, and binary data.
  • Scalability: Blob Storage is highly scalable, capable of storing massive amounts of data and supporting applications that require global access and high throughput.
  • Integration: It integrates seamlessly with Azure analytics services (such as Azure Data Lake Storage Gen2, Azure Databricks, and HDInsight), making it suitable as a landing zone for big data and analytics workloads.
  • Accessibility: Data stored in Blob Storage can be accessed securely via HTTP/HTTPS, REST API, Azure SDKs, and can be streamed or served directly to web applications.
  • Cost-Effectiveness: Blob Storage offers tiered storage options (hot, cool, archive) to optimize costs based on how frequently data is accessed.
  • Use Cases: Common use cases include storing application data, serving static web content, media streaming, backup and disaster recovery, and acting as the foundation for data lakes and analytics solutions.

Comparison with Other Options:

  • Azure Table Storage is for structured, NoSQL data, not suitable for large unstructured datasets like images or videos.
  • Azure Files is for SMB file shares, not optimized for massive, unstructured object storage.
  • Azure Disk Storage is for VM disks, not general-purpose unstructured data.
  • Azure Queues is for messaging, not data storage.

Azure Blob Storage is optimized for storing and managing large volumes of unstructured data—such as text, images, and videos—making it the best choice for web applications and analytics platforms that require scalable, reliable, and accessible cloud storage.

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