What does sharding in database management allow for?

What does sharding in database management allow for?

• A. Databases to be fully integrated
• B. Independent updates on small chunks of database
• C. Improved security through data encryption
• D. Increased storage capacity on a single server

Answer: (B)

Sharding in database management is a technique that involves dividing a large database into smaller, more manageable pieces, known as shards. This division allows for independent updates on these smaller chunks of the database, enabling the database system to handle larger volumes of data and increase performance. With sharding, each shard is stored on a different server or a database instance, which means that updates or queries can be processed in parallel across the shards. This improves the efficiency of data operations, especially when dealing with large datasets or high-traffic applications, as each server can handle its portion of the database independently, reducing bottlenecks and improving overall system responsiveness. In contrast, the other options do not accurately represent the purpose or benefits of sharding. For instance, full integration of databases refers to strategies focused on unifying disparate data sources rather than dividing them. Improved security through data encryption pertains to protecting data rather than how it is structured in shards. Increased storage capacity on a single server focuses on maximizing the resources of one unit rather than distributing data across multiple servers, which is the essence of sharding.

Sharding in database management is a technique that involves dividing a large database into smaller, more manageable pieces, known as shards. This division allows for independent updates on these smaller chunks of the database, enabling the database system to handle larger volumes of data and increase performance.

With sharding, each shard is stored on a different server or a database instance, which means that updates or queries can be processed in parallel across the shards. This improves the efficiency of data operations, especially when dealing with large datasets or high-traffic applications, as each server can handle its portion of the database independently, reducing bottlenecks and improving overall system responsiveness.

In contrast, the other options do not accurately represent the purpose or benefits of sharding. For instance, full integration of databases refers to strategies focused on unifying disparate data sources rather than dividing them. Improved security through data encryption pertains to protecting data rather than how it is structured in shards. Increased storage capacity on a single server focuses on maximizing the resources of one unit rather than distributing data across multiple servers, which is the essence of sharding.