Introduction to DBMS Overview

An organized collection of related information available to multiple users for various purposes.

Database Management System; software to manage and control a database.

Raw, unorganized facts or figures.

Meaningful data organized for use.

A single piece of data within a record (e.g., name, age).

A complete set of data about a single entity (e.g., one person).

A collection of related records.

A data model representing data as a tree-like structure.

A data model where data is represented as interconnected nodes.

A data model that organizes data into tables with relationships between them.

A row in a relational database table.

A column in a relational database table.

Set of possible values for an attribute.

A table in a relational database containing data.

A set of attributes that uniquely identifies each tuple in a relation.

A minimal super key (smallest set of attributes needed).

The chosen candidate key to uniquely identify rows.

Candidate keys not chosen as primary key.

An attribute in one table that refers to the primary key of another table.

DBMS allows multiple applications and users to access and share data, increasing productivity and collaboration.

DBMS ensures data is accurate and consistent by preventing data duplication and enforcing rules.

DBMS provides a structured way to organize data, making retrieval and management more efficient.

DBMS uses indexing and query optimization to efficiently access and retrieve data.

DBMS allows multiple users to work with the data simultaneously, and ensures that any operation is either complete or not started at all.

DBMS can accommodate changes in data volume and user needs, and can be adapted as required.

Implementing and maintaining a DBMS usually incurs significant costs, including software and hardware.

A data model where data is organized in a tree-like structure with parent-child relationships.

A visual representation of how data is structured to fulfill a specific purpose, showing data items and their relationships.

A data model that focuses on how data records are connected or related within a file structure.

A 1:N (one-to-many) relationship in a hierarchical database where one record (parent) can have multiple related records (children).

The record in a hierarchical database that has related child segments

Data model focused on identifying the subjects of a business's data processing activities and the relationship between them.

Linked records in a hierarchical database that belong to a parent segment.

A database component that documents data elements and their synonyms, including field meaning and usage.

Data models enhance data accuracy, reduce redundancy, improve security and provide sufficient detail for physical database design, including relationships and stored procedures.

Early hierarchical database management system (DBMS) introduced by IBM.

Large databases make understanding the model challenging. Requires SQL knowledge for physical models. Structural changes necessitate broad application updates; lack of standardized data manipulation.

A hierarchical structure where data is arranged in levels.

A data model representing data in a tree-like structure with parent-child relationships.

Data model where data is represented as interconnected nodes (entities), allowing many-to-many relationships.

The extra processing that a Database Management System (DBMS) does to handle security, data integrity, and data sharing, which slows down how quickly queries are answered.

The expense of changing from separate systems to a unified database system.

Systems and procedures for creating copies of data to recover if the system crashes.

A component of a DBMS that translates data definition language (DDL) statements into a form the system can use to create tables.

The core component in a DBMS that performs operations on data between users and the physical data storage.

Ensuring data is accurate and consistent.

Ensuring data values don't contradict each other.

Protecting data from unauthorized access and use.

A user who interacts directly with data through simple tools like pre-written queries.

A user who occasionally uses the DBMS for specific tasks.

The person responsible for managing and maintaining the database system.

A database system based on the relational model, developed by E.F.Codd, organizing data into tables.

A database model using tables to represent data and its relationships.

A collection of related data organized in rows (records) and columns (attributes).

Values in columns that are indivisible; you can't break them down further.

Each row in a table must contain unique data to avoid redundancy.

Columns contain data of the same type (e.g., all numbers, or all texts).

The order of columns in a table does not matter; the data remains the same.

The order of rows in a table doesn't affect the data; each row is equally important.

Every column in a table must have a distinct name.

Special fields used to speed up locating specific data using indexing.

Combining rows from two tables based on matching values in the common field.