How does sharding contribute to scalability in NoSQL databases?
- Aggregates data to a single server, optimizing resource usage
- Distributes data across multiple servers, reducing load on each server
- Replicates data on each server, ensuring data availability
- Stores data in a centralized location, simplifying data management
Sharding in NoSQL databases involves horizontally partitioning data across multiple servers. This distributes the workload and allows parallel processing, enhancing scalability. It reduces the burden on individual servers, preventing bottlenecks and improving overall system performance. Understanding sharding is crucial for designing scalable NoSQL database architectures.
Loading...
Related Quiz
- Imagine you're designing a system where multiple tasks need to be executed concurrently with varying levels of urgency. How would you design a data structure to manage these tasks efficiently?
- How does HTTPS differ from HTTP in terms of security?
- The ___________ attack targets web applications by manipulating their client-side scripts to execute malicious actions.
- The ___________ design pattern separates an algorithm from the object that uses it, allowing the algorithm to vary independently.
- Which memory management technique involves dividing memory into fixed-sized partitions?