Lesson 1: Understanding Database Management Systems in IM 101

Database Management System (DBMS)

Software for creating and managing databases.

Integrated Data Store

First general-purpose DBMS by Charles Bachman III.

Network Data Model

Data model standardized by CODASYL in the 1960s. (Conference/Committee on Data Systems Languages)

ACM's Turing Award (Association for Computing Machinery)

Prestigious award for contributions to computer science. (The equivalent of the Nobel in computer science)

Information Management System (IMS)

IBM's DBMS used in major installations today.

Hierarchical Data Model

Data representation framework based on parent-child relationships.

SABRE System ("Semi-Automated Business Research Environment")

Airline reservation system developed by American Airlines and IBM.

Relational Data Model

Proposed by Edgar Codd for structured data representation. The logical data structures—the data tables, views, and indexes—are separate from the physical storage structures.

Data Management

Process of collecting, storing, and using data effectively.

Digital System

Electronic method for organizing and managing data.

CODASYL (Conference/Committee on Data Systems Languages)

Conference that standardized network data model.

Charles William Bachman III

Pioneer in database systems; created Integrated Data Store.

Edgar F. Codd

Introduced relational data model in 1970.

Data Representation Framework

Structure for organizing and accessing data.

Computer Network

System allowing multiple users to access shared data.

Major Installations

Large-scale systems utilizing DBMS for operations.

Database Components

Elements that make up a database system.

Watershed

A critical turning point in database development.

DBMS

Database Management System, manages data access and structure.

Relational Model

A framework for organizing data in databases, The relational model is an approach to managing data using a structure and language consistent with first-order predicate logic

Data Independence

Application programs abstracted from data storage details.

Efficient Data Access

Techniques for fast data retrieval and storage.

Data Integrity

Ensures accuracy and consistency of data.

Data Security

Controls access to data for user protection.

Data Administration

Centralized management of shared data resources.

Concurrent Access

Multiple users accessing data simultaneously.

Data Backup and Recovery

Restores data after system failures.

Application Development Time

Time reduced by using common DBMS functions.

Data

Raw facts not yet processed for meaning.

Information

Processed data revealing its significance.

Knowledge

Understanding derived from processed information.

End-User Data

Raw facts relevant to users' needs.

Metadata

Data about data for integration and management.

Turing Award

Prestigious award for contributions in computer science.

Decision Making

Process of making choices based on information.

Global Market

International economic environment influencing business.

Knowledge Age

Era characterized by information and knowledge production.

Data Processing

Transforming raw data into meaningful information.

Integration

Combining data and metadata for coherent management.

Theoretical Results

Foundational principles supporting database systems.

DBMS Advantages

Benefits provided by using a database management system.