Relational Databases organize structured data in a relational model, storing data as tables and organizing them using relationships.

Why Should We Learn This?

  1. Most Matured: Relational Databases are one of the oldest and most enduring database models, having survived and evolved through numerous changes in technology.

  2. SQL: They provide a robust DSL query language (SQL) that offers great flexibility in data manipulation. SQL skills are highly transferable and widely used across various database technologies, making it a solid skill set for emerging fields like data science.

  3. Foundation: Relational Databases can represent a wide range of data structures, including objects, documents, and time series, within a single framework. This versatility provides a strong foundation for applications, allowing them to start with a relational database and transition to specialty databases as needed.


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References
  1. https://www.oracle.com/in/database/what-is-a-relational-database/#:~:text=A%20relational%20database%20is%20a,of%20representing%20data%20in%20tables.
  2. https://www.ibm.com/topics/relational-databases
  3. https://wiki.postgresql.org/wiki/PostgreSQL_derived_databases
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