What is data distribution transparency in distributed databases?

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What is data distribution transparency in distributed databases?

Data distribution transparency in distributed databases refers to the ability of the system to hide the details of how data is distributed across multiple nodes or locations from the users and applications accessing the database. It ensures that users and applications can interact with the distributed database as if it were a single, centralized database, without needing to be aware of the underlying distribution and location of the data.

Data distribution transparency is achieved through various mechanisms and techniques implemented in the distributed database management system (DBMS). These mechanisms include data replication, partitioning, and fragmentation.

Data replication involves creating and maintaining multiple copies of data across different nodes in the distributed system. This ensures high availability and fault tolerance, as well as improved performance by allowing data to be accessed from the nearest or most suitable node.

Partitioning involves dividing the data into smaller subsets or partitions and distributing them across different nodes. Each node is responsible for managing a specific partition of the data. Partitioning can be done based on various criteria such as range, hash, or list, depending on the requirements of the application.

Fragmentation involves dividing a table or relation into smaller fragments or pieces and distributing them across different nodes. Each node is responsible for managing a specific fragment of the table. Fragmentation can be done based on horizontal or vertical criteria, depending on the nature of the data and the queries that will be executed.

By implementing these mechanisms, the distributed DBMS ensures that data distribution is transparent to users and applications. They can access and manipulate the data without needing to know the specific location or distribution of the data. The DBMS handles the complexities of data distribution, replication, partitioning, and fragmentation, providing a unified and transparent view of the distributed database.