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1. A type of database that stores data in a plain-text file without a complex structure.
2. A type of database that uses graph structures to store, represent, and query relationships between complex interconnected data entities.
3. A structured set of data stored electronically.
4. A character used to separate fields or records within a flat file database, allowing for easy parsing and retrieval of data.
5. The process of creating and maintaining copies of data across multiple nodes in a distributed database for increased fault tolerance and availability.
6. The quality or state of being closely connected or appropriate to a specific purpose or topic.
7. 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.
8. The act of explaining or making sense of data or information by considering its context and implications.
9. A type of database that organizes data into tables with rows and columns, and establishes relationships between tables.
10. The level of accuracy, completeness, and consistency of data.
11. The degree to which data or information is correct, precise, and free from errors.
12. A unit of data in a flat file database that contains all relevant information about a specific entity or object.
13. The understanding or awareness acquired through the interpretation and application of information.
14. The worth or significance of data or information in a particular context.
15. 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.
16. A type of database that stores data as objects, which have their own properties and behaviors.
17. The transformation of raw data into a meaningful format through various operations and actions.
18. A type of database that stores data across multiple computers or servers, allowing for improved performance, fault tolerance, and scalability.