10 Design Issues of Distributed Database (Explained)

Distributed databases manage large and complex data sets across multiple locations. However, several design issues may work as a barrier while developing an efficient, reliable, and scalable distributed database system . Indeed, it is numerous and complex. In this article, I am going to tell you about different data design methods of distributed databases. Design Issue 1: Data Partitioning Data partitioning is the process of dividing data into smaller subsets and distributing them across different nodes of the distributed database. The goal of data partitioning is to minimize data duplication and ensure that each node only stores the data it needs to operate. There are several data partitioning strategies, such as horizontal partitioning, vertical partitioning, and hybrid partitioning. The choice of partitioning strategy depends on the type and size of the data, the distribution of queries, and the hardware resources of the nodes. Design Issue 2: Replication Replication is the process