Distributed Databases Questions Medium
Distributed data access transparency refers to the ability of a distributed database system to provide users and applications with a unified and consistent view of the data, regardless of its physical distribution across multiple nodes or sites. It ensures that users can access and manipulate data in a distributed database without being aware of its distribution or location.
There are different types of distributed data access transparency:
1. Location transparency: This type of transparency hides the physical location of data from users and applications. Users can access data using a logical name or identifier, without needing to know where the data is actually stored. The system handles the task of locating and retrieving the data.
2. Fragmentation transparency: Fragmentation refers to dividing a database into smaller parts or fragments that are distributed across multiple nodes. Fragmentation transparency ensures that users can access and manipulate data as if it were stored in a single logical database, without being aware of the fragmentation. The system handles the task of retrieving and combining the fragmented data transparently.
3. Replication transparency: Replication involves creating multiple copies of data and storing them on different nodes for improved availability and performance. Replication transparency ensures that users can access and manipulate data without being aware of its replication. The system handles the task of synchronizing and maintaining consistency among the replicated copies transparently.
4. Concurrency transparency: Concurrency refers to the ability of multiple users or applications to access and manipulate data simultaneously. Concurrency transparency ensures that users can perform concurrent operations on the distributed database without being aware of the potential conflicts or synchronization mechanisms. The system handles the task of managing concurrency transparently.
Overall, distributed data access transparency simplifies the development and use of distributed database systems by abstracting the complexities of data distribution, fragmentation, replication, and concurrency from users and applications. It provides a seamless and consistent experience for accessing and manipulating data in a distributed environment.