Glossary

Relational Database

A relational database is a type of database system that organizes and stores data in a structured way. It is designed to manage large amounts of information and allow for efficient retrieval and manipulation of data.

In a relational database, data is organized into tables, which consist of rows and columns. Each row represents a record or entity, while each column represents a specific attribute or characteristic of that record. The tables are then related to each other through common fields or keys.

The main advantage of a relational database is its ability to establish relationships between tables. This allows for the efficient storage and retrieval of data, as well as the ability to perform complex queries and calculations. It also ensures data consistency and integrity by enforcing constraints and rules on the relationships between tables.

Relational databases use structured query language (SQL) to interact with the data. SQL provides a standardized method for creating, modifying, and querying the database. It allows users to retrieve specific information, update records, and perform various operations on the data.

Relational databases are widely used in various industries and applications, including banking, healthcare, e-commerce, and more. They provide a reliable and scalable solution for managing and organizing large volumes of data. Additionally, relational databases are known for their ACID properties, which ensure data reliability, atomicity, consistency, isolation, and durability.

In summary, a relational database is a powerful and efficient tool for storing and managing structured data. It allows for the establishment of relationships between tables, enabling complex queries and efficient data manipulation. With its widespread use and robust capabilities, a relational database is an essential component of modern information systems.

A wide array of use-cases

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