Database — definition?
Organized data storage system managed by software.
Database environment — includes?
Data, metadata, DBMS, users, hardware.
Data redundancy — issue?
Unnecessary data duplication causing inconsistency.
Data dependence — problem?
Ties applications to data structure, complicating changes.
Database evolution — from what?
Manual and file-based data management to DBMS.
Operational database — purpose?
Supports daily business transactions.
Distributed database — advantage?
Improves access speed and fault tolerance.
DBMS — purpose?
Manages, controls, and facilitates data access.
Data vs. information — difference?
Data is raw facts; information is processed, meaningful data.
Data sharing — supported by?
DBMS allowing multiple users access.
Analytical database — also?
Data warehouse for analysis and decision-making.
Database management challenges?
Handling redundancy, ensuring security, maintaining integrity.
Database design — importance?
Ensures efficiency, accuracy, and data integrity.
Information — role?
Processed data that provides meaning.
Metadata — function?
Describes data characteristics and structure.
Data redundancy issues?
Storage waste, inconsistency, anomalies.
File system — limitations?
Redundancy, inconsistency, data dependence.
Types of databases — examples?
Single-user, multiuser, distributed, data warehouse.
Data anomalies — caused by?
Poor design, redundancy, and improper updates.
Data — definition?
Unprocessed raw facts or figures.
Answer 10 questions on Fundamentals of Database Management Systems.
1. How do data redundancy and data dependence in file systems differ from each other?
2. When was the importance of proper database design first widely recognized in the evolution of data management systems?
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