One of the most powerful combinations in backend development is Java + SQL.
Java gives us strong OOP principles, while SQL empowers us to manage, query, and manipulate data efficiently.
I came across this SQL chart (attaching below), and it’s such a neat refresher on how SQL is structured:
1. DQL (Data Query Language): SELECT, WHERE, JOIN, GROUP BY…
2.DML (Data Manipulation Language): INSERT, UPDATE, DELETE…
3. DDL (Data Definition Language): CREATE, ALTER, DROP…
4.DCL (Data Control Language): GRANT, REVOKE…
Mastering SQL fundamentals is not just about writing queries it’s about designing clean, efficient, and maintainable persistence layers in your Java applications.
Curious to hear from the community:
What’s your go-to strategy when optimizing SQL queries in Java applications? Do you prefer native SQL, JPQL, or letting the ORM handle most of the heavy lifting?
If you found this SQL + Java breakdown useful, I regularly share insights on Java, Spring Boot, and database best practices. Follow me here for more!
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