Podcast
Questions and Answers
What is an ad hoc query?
What is an ad hoc query?
A spur-of-the-moment question.
What is a centralized database?
What is a centralized database?
A database located at a single site.
What is data?
What is data?
Raw facts that have not yet been processed to reveal their meaning.
What is a data anomaly?
What is a data anomaly?
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What is data dependence?
What is data dependence?
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What is a data dictionary?
What is a data dictionary?
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What is data inconsistency?
What is data inconsistency?
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What is data independence?
What is data independence?
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What is data integrity?
What is data integrity?
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What is data management?
What is data management?
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What is data quality?
What is data quality?
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What is data redundancy?
What is data redundancy?
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What is a data warehouse?
What is a data warehouse?
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What is a database?
What is a database?
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What is database design?
What is database design?
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What is a database management system (DBMS)?
What is a database management system (DBMS)?
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What is a database system?
What is a database system?
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What is a desktop database?
What is a desktop database?
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What is a distributed database?
What is a distributed database?
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What is an enterprise database?
What is an enterprise database?
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What is Extensible Markup Language (XML)?
What is Extensible Markup Language (XML)?
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What is a field?
What is a field?
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What is a file?
What is a file?
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What is information?
What is information?
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What are islands of information?
What are islands of information?
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What is knowledge?
What is knowledge?
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What is a logical data format?
What is a logical data format?
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What is metadata?
What is metadata?
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What is a multiuser database?
What is a multiuser database?
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What is an operational database?
What is an operational database?
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What is performance tuning?
What is performance tuning?
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What is a physical data format?
What is a physical data format?
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What is a production database?
What is a production database?
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What is a query?
What is a query?
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What is a query language?
What is a query language?
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What is a query result set?
What is a query result set?
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What is a record?
What is a record?
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What is semistructured data?
What is semistructured data?
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What is a single-user database?
What is a single-user database?
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What is structural dependence?
What is structural dependence?
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What is structural independence?
What is structural independence?
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What is structured data?
What is structured data?
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What is Structured Query Language (SQL)?
What is Structured Query Language (SQL)?
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What is a transactional database?
What is a transactional database?
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What is unstructured data?
What is unstructured data?
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What is a workgroup database?
What is a workgroup database?
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What is an XML database?
What is an XML database?
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Study Notes
Database Key Terms
- Ad hoc query: Refers to an unplanned, spontaneous query posed by a user.
- Centralized database: A database that is situated at a single location, facilitating easier management and access.
- Data: The raw, unprocessed facts that require further interpretation to extract meaning.
- Data anomaly: Occurs when inconsistent changes are made to a database, leading to discrepancies across files (e.g., an employee's address updated in one file but not others).
- Data dependence: The state where the format and manipulation of data are linked to the specific physical storage characteristics.
- Data dictionary: A component of a Database Management System (DBMS) that holds metadata, defining data elements and their relationships.
- Data inconsistency: The scenario where variations in data versions produce differing outputs or results.
- Data independence: Exists when modifications in physical data storage do not impact data access methods.
- Data integrity: Ensures that data in a relational database adheres to all required constraints, maintaining accuracy and consistency.
- Data management: Involves the processes of data collection, storage, retrieval, and manipulation, including addition, deletion, and modification.
- Data quality: A holistic approach to maintaining the accuracy, validity, and timeliness of data within a system.
- Data redundancy: Occurs when unnecessary duplication of data exists within a database environment.
- Data warehouse: Defined by Bill Inmon as an integrated, subject-oriented, time-variant, and non-volatile data collection aiding decision-making.
- Database: A shared structure encompassing related data, consisting of end-user data and metadata which gives context to the data.
- Database design: The phase in the Database Life Cycle that establishes the structure and components of the database.
- Database Management System (DBMS): A collection of programs that oversee the database structure and manage data access.
- Database system: An organized set of components that regulates the storage, management, and utilization of data within a database environment.
- Desktop database: A single-user database designed to run on personal computers.
- Distributed database: A related database distributed across two or more physical locations, enhancing data access and redundancy.
- Enterprise database: Represents the comprehensive data structure of an organization, catering to both current and future information needs.
- Extensible Markup Language (XML): A markup language used for representing and manipulating data elements, especially for structured document exchanges over the Internet.
- Field: Represents a characteristic of an entity, composed of characters or numbers (e.g., Social Security Number, address).
- File: A designated collection of related records, serving as an organizational unit within a database.
- Information: Produced from data processing, revealing meaningful insights and aiding in decision-making.
- Islands of information: Refers to isolated, often duplicated data pools managed by various organizational departments leading to inconsistency.
- Knowledge: Represents familiarity and understanding of information within a specific context, enabling the derivation of new insights from existing data.
- Logical data format: The interpretation of data as viewed by humans.
- Metadata: Information describing other data, detailing characteristics and relationships.
- Multiuser database: Supports multiple users concurrently accessing and working on the database.
- Operational database: Primarily designed to support the daily operations of a company.
- Performance tuning: Activities aimed at enhancing database efficiency regarding storage and access speeds.
- Physical data format: How data is stored on a computer, which is often not visible to users.
- Production database: The principal database utilized for tracking daily company operations.
- Query: A user-generated request for data manipulation expressed in SQL code.
- Query language: Nonprocedural languages (like SQL) employed by DBMS to manage data.
- Query result set: The output collection of data rows returned from executing a query.
- Record: A group of related fields that form a single entry in a database.
- Semistructured data: Data that has undergone some processing, rendering it partially organized.
- Single-user database: A database designed for use by one individual at a time.
- Structural dependence: Exists when changes in schema necessitate updates in all access programs due to impact on data access.
- Structural independence: Characterizes a setup where schema changes do not influence data access methods.
- Structured data: Data formatted for ease of storage and processing.
- Structured Query Language (SQL): A powerful relational language for creating database structures, performing data manipulation, and querying databases to extract information.
- Transactional database: A database that tracks daily transactions of an organization.
- Unstructured data: Data in its original, raw form as initially collected.
- Workgroup database: A multiuser database intended for limited users, typically under 50, often serving a specific department.
- XML database: A database system dedicated to storing and managing semistructured XML data.
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Description
Test your knowledge with flashcards covering key terms and definitions from Chapter 1 of Database Systems. This set includes essential concepts like ad hoc queries, centralized databases, and data anomalies to help reinforce your understanding of the subject.