Case Study Video | Distributed Database | SNS Institutions

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A distributed database is a collection of data that is spread across multiple physical locations, often on different servers or geographic regions, but appears to users as a single unified system. This setup enhances performance, fault tolerance, and availability, making it ideal for large-scale applications such as cloud computing, online retail, and financial services.

In a distributed database system, data can be stored in several ways: fragmented (dividing a table into parts), replicated (copies of data stored on multiple nodes), or a combination of both. These strategies ensure that even if one node fails, the system continues to function by accessing data from another node.

There are two primary types of distributed databases: homogeneous (all nodes use the same database software) and heterogeneous (different nodes may use different software or data models). Coordination across these nodes is managed through distributed database management systems (DDBMS), which handle tasks like query processing, transaction management, and data consistency.

One major challenge in distributed databases is maintaining data integrity and consistency, especially during concurrent access or system failures. Techniques such as two-phase commit protocols and distributed concurrency control are used to address this.

The advantages of distributed databases include improved data access speed for users in different regions, scalability for growing data needs, and enhanced reliability. However, they also introduce complexities in design, synchronization, and security.

In today's digital world, distributed databases form the backbone of many resilient and high-performance systems, supporting everything from social media platforms to global banking networks.

Видео Case Study Video | Distributed Database | SNS Institutions канала Rajkumar D