SQL (Structured Query Language)

To explain the principles of databases effectively, SQL (Structured Query Language) is the most suitable choice. It is the foundational language used for interacting with relational databases, making it ideal for illustrating concepts such as querying, table relationships, and data manipulation. For deeper learning, Python and Java are also valuable tools. These languages allow you to work with databases through libraries and frameworks (like SQLite for Python or JDBC for Java), providing practical experience in connecting to and working with databases from an application perspective.

In short:

Start with SQL basics using MySQL to teach the relational model.

Use Python or PHP for practical applications and integrating databases into scripts.

Get interested in creating databases. For example, Firebird, MySQL, SQL. There are differences between them but the principles are the same.

There are SQL and no-SQL databases. The last kind of databases, i.e. no-SQL, gets very popular recently, e.g. graph databases. They have advantages and disadvantages depending on the area and characteristics of application. To deeply understand databases, I recommend reading modern books on the topic.

Flat file aka a list.

Use this as a starting point to build up to tables.

From tables to multiple tables in a relational database and RDBMS.

From there, you can build up into object-oriented and graph as mentioned by Igor Toujilov.

Hello, to explain the principles of databases, the best tools depend on what concepts you're focusing on. For relational databases, SQL is essential as it directly demonstrates how to query and manipulate data. For visualizing database structures, tools like dbdiagram.io or Lucidchart are great for creating Entity-Relationship Diagrams (ERD). If you're teaching database design and modeling, tools like MySQL Workbench or Microsoft SQL Server Management Studio (SSMS) are highly effective. For NoSQL databases, MongoDB or Firebase are good options. Ultimately, a combination of theoretical learning with hands-on practice in these tools will provide a strong foundation in database principles.