NoSQL, short for "Not Only SQL," represents a family of database management systems designed for flexible and scalable data storage. Unlike traditional relational databases, NoSQL databases employ various data models like document, key-value, graph, and column-family, enabling them to handle diverse data types and structures. NoSQL databases are well-suited for applications requiring high data velocity and volume, such as web and mobile apps, IoT devices, and big data analytics. They offer horizontal scalability, strong performance, and support for distributed, non-tabular data storage, making them a valuable choice for modern, dynamic data management needs.
121. What is the primary purpose of caching in NoSQL databases?
122. Which type of cache stores frequently accessed data from the database for quick retrieval?
123. What is an advantage of using a Write-Behind Cache strategy in NoSQL databases?
124. In NoSQL databases, which caching technique reduces the likelihood of cache stampede?
125. What is a potential drawback of using caching in NoSQL databases?
126. Which caching strategy is useful for caching query results in NoSQL databases?
127. How does cache eviction work in NoSQL caching mechanisms?
128. Which cache consistency model ensures that the cache always contains the most recent data?
129. Which type of cache is typically used for improving read performance in NoSQL databases?
130. In NoSQL caching, what does cache coherency refer to?