Chap 1,2,3 Flashcards
(55 cards)
Database:
A collection of organized data used for storage, management, and retrieval.
Forms
Online pages for user input, including checkboxes, text boxes, and drop-down lists.
DBMS (Database Management System):
Software used to create, manage, and secure databases (e.g., MySQL, Access).
Tags:
Electronic devices used to identify and track items, often using RFID technology.
RFID (Radio Frequency Identification):
Tiny chips that store and transmit information to readers for database entry.
Digital Sensors:
Devices that detect environmental data (e.g., temperature, light) and transmit it digitally.
Cookies
Small text files stored by web browsers to identify users and personalize web pages.
Transaction Tracking:
Recording transaction details, like store location, payment info, and employee involvement.
Location-Based Data:
Data that provides location info, such as maps, traffic patterns, and GPS tracking.
LBS (Location-Based Services):
Software apps that use location data for services like navigation and ride-sharing.
Data Warehouse:
A central storage system for historical data from multiple databases, used for analysis.
Normalization:
Organizing database structure to reduce redundancy and improve efficiency.
ETL (Extract, Transform, Load):
The process of transferring data from sources to a warehouse for analysis.
Data Mining:
Analyzing large datasets to find patterns and trends for decision-making.
Data Extraction:
Selecting relevant data from large datasets for analysis
Pattern Recognition:
Identifying trends and relationships between data points.
Data Integrity
Ensuring data is accurate, consistent, and reliable throughout its lifecycle.
Data Validation:
Checking data accuracy and format before it is entered into a database.
Data Verification:
Manually confirming that database entries are correct.
Access Control:
Restricting database access based on user roles and passwords.
Parallel Data Sets:
Backup copies of databases used to detect corruption or data loss.
Field:
A single piece of information about an item or person (e.g., Name, Age).
Primary Key:
A unique field used to identify each record in a table.
Data Integrity:
Ensuring accuracy, consistency, and reliability of data throughout its lifecycle.