Foundations of Databases and SQL Flashcards

Author: Martin Ganchev Cards: 56

Our foundations of databases and SQL flashcards are designed to serve as a pillar for anyone keen on learning database fundamentals and structured query language basics. With these study cards, you’ll bridge the gap between theory and practice on the essentials of database architecture. You’ll begin by learning the syntax and database concepts that make data manipulation and retrieval possible and gain practical insights. Our foundations of databases and SQL flashcards introduce you to the roles of database managers and designers, highlighting their importance in maintaining data integrity, consistency, and security—all of which are database foundations. Discover the database architecture of different systems, including relational databases—structured to recognize relationships among stored data—and non-relational databases that offer flexibility in data representation. Relational algebra principles explain the mathematical foundations of database basics. Our flashcards emphasize efficient data retrieval—teaching storage and memory optimization techniques. You'll master navigating database tables, grasp database architecture and relational schemas, and implement the client-server model in practical applications. The deck delves into the entity-relationship model, providing insights on creating and interpreting entity-relationship diagrams (ER Diagrams)—crucial for visualizing the database structure. Whether it's a database server or a client application, our study cards provide a preliminary overview of MySQL and other platforms like Oracle, SQLite, PostgreSQL, MariaDB, and Microsoft Access—each playing a pivotal role in data management. In our foundations of databases and SQL flashcards, you’ll uncover the significance of records, entities, and their instances and how localhost and table fields in relational schema contribute to their functionality. You'll delve into the various aspects of SQL fundamentals—including Data Definition Language (DDL), Data Manipulation Language (DML), and Data Control Language (DCL), which control the structure and security of transactions. To deepen your understanding of SQL concepts—particularly the distinctions between DDL vs DML vs DCL—our study cards are an excellent resource for your learning journey. From transactions to the Transaction Control Language (TCL) that governs the state of your data, our foundations of databases and SQL flashcards ensure you're equipped to handle the committed and non-committed states of operations. You'll refine your SQL with the beautify option and effectively utilize comments for clarity. Our foundations of databases and SQL flashcards—perfect for both beginners and those refreshing their skills—are essential for mastering database querying and database concepts and their applications. Build your knowledge of database fundamentals now. Don't delay—learn SQL concepts today!

Our foundations of databases and SQL flashcards are designed to serve as a pillar for anyone keen on learning database fundamentals and structured query language basics. With these study cards, you’ll bridge the gap between theory and practice on the essentials of database architecture. You’ll begin by learning the syntax and database concepts that make data manipulation and retrieval possible and gain practical insights. Our foundations of databases and SQL flashcards introduce you to the roles of database managers and designers, highlighting their importance in maintaining data integrity, consistency, and security—all of which are database foundations. Discover the database architecture of different systems, including relational databases—structured to recognize relationships among stored data—and non-relational databases that offer flexibility in data representation. Relational algebra principles explain the mathematical foundations of database basics. Our flashcards emphasize efficient data retrieval—teaching storage and memory optimization techniques. You'll master navigating database tables, grasp database architecture and relational schemas, and implement the client-server model in practical applications. The deck delves into the entity-relationship model, providing insights on creating and interpreting entity-relationship diagrams (ER Diagrams)—crucial for visualizing the database structure. Whether it's a database server or a client application, our study cards provide a preliminary overview of MySQL and other platforms like Oracle, SQLite, PostgreSQL, MariaDB, and Microsoft Access—each playing a pivotal role in data management. In our foundations of databases and SQL flashcards, you’ll uncover the significance of records, entities, and their instances and how localhost and table fields in relational schema contribute to their functionality. You'll delve into the various aspects of SQL fundamentals—including Data Definition Language (DDL), Data Manipulation Language (DML), and Data Control Language (DCL), which control the structure and security of transactions. To deepen your understanding of SQL concepts—particularly the distinctions between DDL vs DML vs DCL—our study cards are an excellent resource for your learning journey. From transactions to the Transaction Control Language (TCL) that governs the state of your data, our foundations of databases and SQL flashcards ensure you're equipped to handle the committed and non-committed states of operations. You'll refine your SQL with the beautify option and effectively utilize comments for clarity. Our foundations of databases and SQL flashcards—perfect for both beginners and those refreshing their skills—are essential for mastering database querying and database concepts and their applications. Build your knowledge of database fundamentals now. Don't delay—learn SQL concepts today!

Explore the Flashcards:

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SQL (Structured Query Language)

A programming language used for managing and manipulating relational databases.

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Database Managers

Professionals responsible for managing and overseeing database management systems (DBMS).

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Data Manipulation

The process of modifying data to make it more organized and readable.

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Database

An organized collection of structured information, stored electronically.

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Database Designer

A professional responsible for designing the structure, architecture,

and layout of a database, ensuring it meets user requirements and business needs.

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Data Integrity

The accuracy, consistency and reliability of the data stored in a database.

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Data Extraction

The process of retrieving data from various sources for further data processing or analysis.

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Data Consistency

Ensuring that data across a database remains accurate and uniform throughout various operations and transactions.

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Data Security

Measures and practices implemented to protect data from unauthorized access, corruption, or theft throughout its lifecycle.

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Database Administration

The process of managing, maintaining, and overseeing a database system.

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Database Administrator

A professional responsible for managing, maintaining, and overseeing a database,

ensuring its optimal performance, security, and reliability.

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Database Management System (DBMS)

Software enables users to store, modify, extract, and query data in a database.

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Relational Database

A type of database that organizes data into tables related to each other through common data columns, providing a way to establish relationships between different data points.

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Non-relational Database

A type of database that stores and retrieves data without requiring data to be stored in tables.

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Relational Algebra

A set of operations used to manipulate and retrieve data from relational databases based on set theory.

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Efficiency in Data Retrieval

The effectiveness and speed at which data can be accessed from a database.

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Data Storage and Memory Space

The way data is saved in a database and the amount of disk space it occupies.

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Common Fields in Database Tables

Fields that appear in multiple database tables, often used to create relationships between tables.

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Database Schema

The structure of a relational or non-relational database defined in terms of database tables, views, and constraints.

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Relational Schema

A blueprint of a relational database that outlines how data is organized into tables.

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Client-Server Model

An application structure distributing the tasks of an operation between a server (where the server hosts, delivers and manages most

of the resources and services to be consumed by the client) and a client (where the client requests the services).

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Entity-Relationship Model

A diagrammatic representation of entities and their relationships, applicable mainly to relational databases.

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Entity-Relationship Diagram (ER Diagram)

A visual representation of the relationships between different entities in a database.

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Database Server

A server that provides database services to other computer programs or computers.

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Client Application

Software that accesses a service made available by a server.

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Open-source

Software for which the original source code is made freely available to users and may be redistributed and modified.

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Open-source Software

Software for which the original source code is made freely available to users and may be redistributed and modified.

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MySQL

An open-source relational database management system.

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MySQL Workbench

A visual database interface for MySQL that integrates data modelling, SQL development, and

comprehensive administration tools.

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MySQL Server

A relational database management system that uses MySQL for data management, storage, and retrieval.

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MySQL User

An account in MySQL that has specific privileges, allowing the user to perform actions like query execution,

database management, or more.

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MySQL Connection

A link established between a MySQL client and a MySQL server to facilitate communication and data exchange.

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Result Grid/Result Set

The visual representation in MySQL of the data returned by a SELECT query, displayed in a tabular format.

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Oracle

A multinational computer technology corporation that sells database software and technology, cloud engineered systems

and enterprise software products.

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SQLite

A C-library that implements a small, fast, self-contained SQL database engine.

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PostgreSQL

An open-source relational database system

with an emphasis on extensibility and standards compliance.

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MariaDB

A commercially supported version of MySQL intended to remain free under the GNU GPL.

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Microsoft Access

A Microsoft relational database management system intended for working with relatively smaller datasets.

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Record

A single, implicitly structured data item in a table.

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Entity

An object, concept, person, or thing with an independent existence in the user's domain of interest.

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Entity Instance

A single occurrence of an entity.

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Localhost

A hostname that refers to the current device used to access the database.

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Table Fields in Relational Schema

Columns in a table of a relational database, representing individual attributes of the records in the table.

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SQL's syntax

Comprises SQL rules, statements and expressions that allow you to perform various commands and operations.

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Data Definition Language (DDL)

A set of statements that allow the user to define or modify data structures and objects, such as tables.

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Data Manipulation Language (DML)

Allows manipulation of data in tables of a database.

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Data Control Language (DCL)

Manages user rights in a database.

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Transaction

A sequence of one or more SQL operations executed as a single logical unit of work.

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Transaction Control Language (TCL)

Manages the way changes are saved in a database.

Not necessarily every change made is saved automatically.

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Committed State

A state in a database transaction where all changes have been saved and the transaction is complete.

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Non-Committed State

A state in a database transaction where changes have not been saved and can be undone.

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DDL Tab

A section in database interfaces for data definition language operations.

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Comments (in SQL)

Annotations or explanations within the SQL code, ignored during execution.

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Beautify Option

A feature in SQL tools to format code for better readability.

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Relational Database vs. Non-Relational Database

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Logical Connection (for Database Relationships)

The association established between tables in a database through the use of primary and foreign keys,

facilitating data integrity and consistency.