SQL's standardized syntax offers several advantages: 1) Consistency across different database management systems, allowing developers to leverage their skills across various platforms. 2) Ease of learning and understanding, as the syntax is designed to be highly readable and resembles natural language. 3) Universally applicable and transferable fundamental principles, ensuring that once you master the basics of SQL, you can apply this knowledge across different platforms6. 4) Interoperability with other data science tools and programming languages like Python and R, making it easier to combine SQL's data handling capabilities with advanced analytics and machine learning features.
SQL is considered easy to understand due to its intuitive and straightforward syntax, which is designed to resemble natural language. This makes it accessible to professionals from all fields, even those without a programming background. Additionally, SQL's basic statements, such as SELECT, FROM, WHERE, and ORDER BY, clearly define the actions to be performed, further enhancing its readability and comprehensibility.
SQL integrates with other programming languages through various methods, such as using libraries in languages like Python (e.g., pandas, SQLAlchemy) and R (e.g., dplyr, RSQLite) that allow running SQL queries within the code. APIs and connectors are also used to establish connections between databases and applications written in different languages, enabling data retrieval and manipulation. Additionally, some languages support calling functions or procedures written in other languages, further enhancing interoperability.