Distributed Database in DBMS | Learn Coding

Summary

This video delves into the concept of distributed databases, explaining how data is stored across multiple physical locations connected via a network. It covers the process of replication, ensuring data is kept consistent across servers, and the advantages such as faster access and fault tolerance. The video also discusses the two types of distributed databases: homogeneous and heterogeneous, highlighting their key differences. Finally, it touches on the challenges, including complexity and cost, making it a valuable resource for anyone looking to understand the workings of distributed databases in modern systems.

Takeaways

• 😀 A distributed database stores data across multiple physical locations, which are interconnected over a network.
• 😀 Data updates are replicated across different locations, ensuring data remains up-to-date in all servers.
• 😀 One of the key advantages is that users experience faster data access from the nearest server based on their location.
• 😀 If one server fails, the system automatically reroutes requests to the nearest available server, ensuring continuous data availability.
• 😀 An example of a distributed database is an e-commerce company using different servers in multiple regions like Delhi and Mumbai for localized access.
• 😀 There are two types of distributed databases: Homogeneous (same database software on all nodes) and Heterogeneous (different database software across nodes).
• 😀 Homogeneous distributed databases offer easier management since all nodes use the same software and are managed similarly.
• 😀 Heterogeneous distributed databases are more complex as different software and data models are used across nodes, requiring additional translation and coordination.
• 😀 Distributed databases ensure high availability, as data can be accessed even if one server goes down.
• 😀 While distributed databases offer benefits like faster access and availability, they also require more resources for management and maintenance, leading to higher costs.

Q & A

What is a Distributed Database System?

A Distributed Database System is a system where data is stored across multiple physical locations. These locations are connected over a network, such as the internet, and are often managed via replication processes to maintain consistency and availability of data.

How does a Distributed Database System keep data up to date?

The system uses replication, where changes made to the main server are propagated to other servers across different locations. This ensures that all copies of the data remain synchronized and updated.

What is an example of a real-world application of a Distributed Database?

An example of a real-world application is an e-commerce company that uses a distributed database to store customer data. For instance, data for customers in Delhi is stored on the Delhi server, and data for Mumbai customers is stored on the Mumbai server, ensuring faster access and fault tolerance.

What happens if a server in a Distributed Database fails?

If a server fails, the system can fulfill user requests by redirecting them to the nearest available server or the main server. This ensures continuous availability and minimal disruption to the users.

What is the main advantage of a Distributed Database System?

The main advantage is fault tolerance and high availability. Even if a server fails, the system can continue operating by accessing data from other servers. This reduces the risk of downtime and ensures users can still access data quickly.

What is the difference between Homogeneous and Heterogeneous Distributed Databases?

In a Homogeneous Distributed Database, all nodes use the same database software and are managed similarly. In contrast, a Heterogeneous Distributed Database allows nodes to use different database software and data models, requiring translation and coordination between them.

What is a key disadvantage of a Distributed Database?

A key disadvantage is the complexity and cost of managing and coordinating data across multiple nodes. It requires more manpower for maintenance, and setting up and managing the infrastructure is more costly due to the need for servers at multiple locations.

How does a Distributed Database enhance user experience?

A Distributed Database improves user experience by providing faster access to data. Requests are routed to the nearest server, reducing latency and speeding up response times for users in different regions.

How does data replication work in a Distributed Database?

Data replication in a Distributed Database involves copying data from the main server to servers at different locations. Whenever updates are made, they are replicated across all connected servers to ensure consistency and that data is available across multiple locations.

Can new nodes be added to a Distributed Database system easily?

Yes, new nodes can be added to the system without affecting other servers. This flexibility allows the system to scale as needed, adding more servers to handle increasing demand without disrupting the entire system.