Definition
Database Management is the process of efficiently storing, manipulating, and retrieving data in a database. It involves various activities such as entering, classifying, modifying, updating data, and presenting output reports to ensure the data is accessible, organized, and secure.
Examples
- Customer Relationship Management (CRM) Systems: CRM databases store customer information which can be entered, updated, and manipulated for better customer service and targeted marketing campaigns.
- Online Transaction Processing (OLTP) Systems: Retail websites use OLTP databases to manage inventory and customer orders in real-time.
- Human Resource Management Systems (HRMS): These databases store employee information, allowing HR departments to track employee performance, manage payroll, and update employee records as needed.
Frequently Asked Questions (FAQ)
What is the purpose of Database Management?
Database Management ensures that data is organized, stored efficiently, and is easily retrievable. It improves data accessibility and supports data integrity, security, and performance.
What are the main components of Database Management?
The main components include database software, data modeling, database design, data retrieval and manipulation methods, and database administration tools.
What is a Database Management System (DBMS)?
A DBMS is software that facilitates the creation, management, and use of databases. Examples include MySQL, Oracle, and Microsoft SQL Server.
How does database normalization work?
Database normalization is the process of designing a database to reduce redundancy and improve data integrity by structuring data into tables according to specific rules.
What is Structured Query Language (SQL)?
SQL is a standardized language used for querying and managing data in a relational database. It includes commands to insert, update, delete, and retrieve data.
Related Terms
- Data Storage: The saving of data in a suitable format within a database for future use.
- Data Manipulation: The process of adding, deleting, or altering data within a database.
- Relational Database: A type of database that organizes data into tables which can be linked by defining relationships between the tables.
- Data Warehouse: A centralized repository for storing large volumes of data collected from various sources for analysis and reporting.
- NoSQL Database: A type of database designed to handle large volumes of unstructured data, often used for big data applications.
Online References
Suggested Books for Further Studies
- “Database System Concepts” by Abraham Silberschatz, Henry F. Korth, and S. Sudarshan
- “SQL for Data Analytics” by Upom Malik, Matt Goldwasser, and Benjamin Johnston
- “Database Management Systems” by Raghu Ramakrishnan and Johannes Gehrke
- “Fundamentals of Database Systems” by Ramez Elmasri and Shamkant B. Navathe
Fundamentals of Database Management: Information Technology Basics Quiz
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