A search engine is a tool that finds webpages and online databases based on terms and criteria specified by the user. Popular search engines include Google, Bing, and Yahoo.

Using a centralized database or data repository helps ensure data integrity by maintaining information in only one place. By storing and updating data in a single, controlled location, the risk of inconsistencies and errors that can occur from having multiple versions of the data dispersed across different systems is minimized. This also allows for easier management, monitoring, and audits of the data.

When you create a database, you define its structure by assigning names and data types to all the fields. This process involves specifying the tables, fields, and relationships between them to organize and store data efficiently. By defining the database schema, you establish the blueprint for how data will be stored and accessed within the database.

The subject filing system method allows the data to be arranged based on the subject or topic. The main advantage of this system is the ability to store and retrieve records alphabetically by subject.

The three types of data flow are input data flow, output data flow, and intermediate data flow. An example of input data flow is when user information is inputted into a system, output data flow is when search results are displayed to the user, and intermediate data flow is when data is processed or transformed within the system.

Unofficial data refers to information that is not officially recognized or sanctioned by a particular authority or organization. This can include data collected through unofficial channels, non-traditional sources, or unverified sources. It may lack the reliability or validity of official data but can still provide valuable insights in certain contexts.

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A database management system (DBMS) is used to store, retrieve, analyze, and print information stored in a database. It provides functionalities to efficiently manage data, ensure data integrity, and support various operations such as querying and reporting on the data stored in the database.

The key question distinguishing relevant data from irrelevant data is: Does the data directly contribute to answering the specific question or solving the particular problem at hand? If the data helps in providing insights, making informed decisions, or achieving the desired outcome, it is considered relevant. Otherwise, it can be classified as irrelevant data.

An organized collection of related records is called a database. It is a structured set of data stored in a computer system that can be easily accessed, managed, and updated.

The E-R model is a data model used to describe the relationships between entities in a database. An Entity set is a collection of similar entities (objects) with shared attributes that are grouped together in the database.

A database system is a term that is typically used to encapsulate the constructs of a data model, database Management system (DBMS) and database .. (natsume)

Evidential data refers to information or facts that provide evidence to support a particular claim, conclusion, or argument. It is data that can be used to verify, validate, or justify an assertion or hypothesis. Evidential data is crucial in decision-making processes, scientific research, and legal proceedings.

A learning management system (LMS) is a software platform that helps schools deliver, manage, and track educational content and activities. It is essential to schools because it streamlines the administration of courses, enhances communication between teachers and students, provides a centralized location for resources, and allows for personalized learning experiences.

A database-driven website is a site that dynamically generates content by retrieving and displaying data from a database. Examples include online shopping platforms like Amazon and social networking sites like Facebook, where user information and interactions are stored and retrieved from databases in real-time.

Data handling allows for organizing, storing, and retrieving information efficiently, leading to better decision-making and analysis. It also helps in maintaining data integrity, ensuring data security, and enabling automation of repetitive tasks. Ultimately, effective data handling leads to improved productivity and streamlined operations.

Database management software interrogates a database by sending queries written in a specific database query language (e.g., SQL) to retrieve, update, and manipulate data. The software processes these queries to access the database and perform the requested operations efficiently. It uses mechanisms like query optimization and indexing to improve performance and ensure data integrity.

A database is a structured collection of data that is organized for easy access and retrieval. It is beneficial to use databases because they provide a centralized location for storing and managing data, allowing for efficient data handling, retrieval, and manipulation. Databases ensure data integrity, allow for scalability, and enable multiple users to access and work with the data simultaneously.

Individuals must have appropriate security clearance levels, need-to-know justification, and have signed any required nondisclosure agreements before they can access classified data. Additionally, they may need to undergo specific training or background checks depending on the sensitivity of the information.

A record is a collection of fields that represent a single entity or object. Each field in a record holds a specific piece of information about that entity. Together, records and fields help organize and store data in a structured manner within a database or spreadsheet.

• Super key: A set of attributes that uniquely identifies a tuple in a table.
• Primary key: A specific super key chosen to uniquely identify each tuple in a table and must be unique and not null.
• Candidate key: Any super key that could be chosen as the primary key.
• Foreign key: A field in a table that is a primary key in another table, used to establish a relationship between the two tables.

The name of data broken into chunks is called packet.

Yes, a query is a question you ask to retrieve specific information from a database. It is a command written in a specific language like SQL that allows you to interact with the database to perform operations such as selecting, updating, or deleting data.

A context diagram focuses on showing interactions between a system and external entities, such as users or other systems, without detailing the internal workings. Data stores are considered internal to the system, so they are not shown in a context diagram to keep the diagram simple and to maintain a high-level view of the system's boundaries and connections.

Data consistency constraints are rules that define the allowable values and relationships within a database to ensure that the data remains accurate and reliable. These constraints help maintain the quality and integrity of the data by preventing conflicting or incorrect information from being stored. Examples include primary key constraints, foreign key constraints, and unique constraints.