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1. A type of database that uses graph structures to store, represent, and query relationships between complex interconnected data entities.
2. The degree to which data or information is correct, precise, and free from errors.
3. A component of a record in a flat file database that represents a single attribute or property of the entity being stored.
4. The process of creating and maintaining copies of data across multiple nodes in a distributed database for increased fault tolerance and availability.
5. A database system that primarily relies on the main memory (RAM) of a computer for data storage, instead of traditional disk storage.
6. A character used to separate fields or records within a flat file database, allowing for easy parsing and retrieval of data.
7. A structured set of data stored electronically.
8. The worth or significance of data or information in a particular context.
9. The understanding or awareness acquired through the interpretation and application of information.
10. A type of database optimized for storing and retrieving time-stamped or time-series data, such as sensor readings or financial market data.
11. The process of selecting a course of action or making a choice based on available data and information.
12. The act of explaining or making sense of data or information by considering its context and implications.
13. A type of database that organizes data into tables with rows and columns, and establishes relationships between tables.
14. The quality or state of being closely connected or appropriate to a specific purpose or topic.
15. A system that collects, processes, stores, analyzes, and disseminates information for a specific purpose.
16. The level of accuracy, completeness, and consistency of data.
17. A type of database that provides a non-relational data model, flexible schema, and horizontal scalability, often used for big data and real-time applications.
18. A technique used in distributed databases to divide the data into smaller subsets or partitions, which are then stored on different nodes in the network.
19. The transformation of raw data into a meaningful format through various operations and actions.