What is a relational data base?

Do you know what a relational database is and how it differs from any other type? If you don’t know it yet, but would like to learn it, we invite you to continue reading this article. Knowing this concept is essential, since it will allow you to understand how code projects work with databases and their different types. So, below we will delve deeper into this topic and tell you what a relational database is, as well as its relationship with transactional databases and SQL.

What is a relational data base?

We can define what a relational database is as a type of database that stores said data and allows access to specific data points that relate one database to another. Relational databases are based on a relational model structure, where data groupings are established in different tables.

A table that is represented by a relational database is configured by different records or rows that store an ID (or key) different from the ID that other records have. In turn, relational database tables have columns that usually have an attribute that differs from the others and that has a value that represents each attribute. This way, it is much easier to find relationships between specific data points.

Structure of relational databases

Relational databases have, like all databases, a logical structure of tables with data, indexes and views. These differ from physical data table structures. In the structure of relational databases there is no inference between logical and physical deliveries, therefore, there will not be any access problem if an element is edited in one of the database tables.

Benefits of relational databases

In contrast to non-relational databases (although these have a number of important advantages), relational databases have several benefits. First of all, Relational databases allow for a much more intuitive establishment of data, which facilitates much more accurate access based on the relationship points between the bases. That is why relational databases are widely used in organizations that control a large group of databases, since all the steps of data processing or data processing they are simpler.

In addition to the intuitive process that relational technologies allow, they also offer advantages in terms of flexibility, usability, and ACID concept (atomicity, consistency, isolation, durability). In relational databases, you can add, update, delete, or relate data between each database. Likewise, relationship databases allow several people to collaborate on the same element and provide benefits in terms of security.

Relational database and SQL

The SQL (Structured Query Language) tool is what allows you to control relational databases. This tool allows the database administrator or administrators to perform activities on them. That is, they will be able to easily add, update or delete data, among other actions. Likewise, the SQL tool will allow the user to recover the databases with just a few lines of code.

Some of the important elements for setting up a relational database with SQL are SELECT, FROM, LEFT JOIN, ON, WHERE, GROUP BY, ORDER BY and LIMIT. All of these will allow you to play with the elements, records and data found in relational databases.

And now that?

Although you have come this far and now know what a relational database is, you still need to learn about many related concepts, such as a non-relational database, which is another type into which databases are divided. of data.

Therefore, so that you can complete your knowledge, we recommend that you visit the syllabus of our Big Data, Artificial Intelligence & Machine Learning Full Stack Bootcamp. Don’t hesitate to sign up, it’s an opportunity you can’t miss to become an expert!

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