Azure Table Storage serves as a scalable, cost-effective NoSQL data store in multi-tier application architecture. It primarily handles structured, non-relational data and provides fast access to large volumes of data with low latency. In this context, Azure Table Storage plays two key roles:
1. Caching: By acting as a cache layer between the front-end and back-end tiers, it reduces load on databases and improves performance. Cached data can be stored in tables for quick retrieval, minimizing response times for frequently accessed information.
2. Data Access: As part of the data tier, Azure Table Storage enables efficient querying and manipulation of data through its RESTful API or SDKs. This simplifies data management tasks such as CRUD operations, pagination, and filtering while maintaining high availability and durability.
