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.
131. What is the primary purpose of data backup in NoSQL databases?
132. Which backup method involves taking a snapshot of the entire NoSQL database at a specific point in time?
133. What is a potential drawback of using continuous backup in NoSQL databases?
134. In data recovery, what does the term "RTO" stand for in NoSQL databases?
135. Which type of backup is more efficient in terms of storage space: full or incremental backup in NoSQL databases?
136. Which data recovery method focuses on reapplying committed transactions to restore data?
137. What is the primary purpose of data archiving in NoSQL databases?
138. Which backup method is suitable for protecting against accidental data loss, but less effective for disaster recovery in NoSQL databases?
139. What is the main advantage of using a point-in-time recovery method in NoSQL databases?
140. Which type of backup is typically faster to perform: full or incremental backup in NoSQL databases?