
Explore the relational model proposed by Dr. Codd, where data sits in tables linked by primary and foreign keys, and sql manages integrity and efficient joins.
Explore SQL as the universal language for relational databases across RDBMS like Oracle, Microsoft SQL, MySQL, and Postgres, and its use with some NoSQL systems.
See SQL hello world as a simple select that returns a table; the column hello world and its value illustrate a dml concept, with now returning the current time.
Examine SQL datatypes like int, decimal, char, varchar, date, time, float, binary, blob, enum, xml, json, and uuid, and map them to your rdbms while choosing natural or synthetic keys.
Explore data definition language in sql to define schemas, create and alter databases and tables, manage columns and data types, and understand primary keys and drop operations.
Walks through designing a simple students table from requirements to a create statement, highlighting a primary key with auto increment, varchar fields, date enrollment, and a single-table design.
Create and explore a new database called studentDB, then define a students table, describe its fields and metadata, including types, nullability, and primary key with auto-increment.
Explore the key query clauses of a typical select statement, including select, from, where, group by, having, order by, and limit with offset for pagination.
Discover subqueries and nested queries, including scalar, row, column, and table subqueries, and see how inner queries serve outer queries via select, from, and where.
Learn why database transactions are essential for safely transferring money between accounts, ensuring all-or-nothing debits and credits, with start, commit, rollback, and locking.
Are you preparing for a backend developer role or gearing up for a crucial technical interview? This comprehensive course will guide you through the world of Relational Database Management Systems (RDBMS) and Structured Query Language (SQL) from the ground up. You’ll learn how to design scalable, secure databases and master fundamental SQL commands while exploring real-world use cases and hands-on exercises.
From table creation and data manipulation to advanced topics like subqueries and joins, this course provides a structured approach that will help you confidently work with relational databases. You’ll see how key components such as primary and foreign keys maintain data integrity, discover the power of transactions and locks for multi-user environments, and learn how to optimize queries with indexing and the EXPLAIN keyword to boost performance.
By the end of this journey, you’ll be able to build robust databases, write optimized queries, manage user privileges with Data Control Language (DCL), and implement secure best practices against common vulnerabilities. We’ll also dig into triggers, views, and transaction control, giving you a complete toolbox for tackling complex data challenges in any production environment.
Whether you’re brushing up on SQL for an upcoming interview or looking to refine your backend development skill set, this course arms you with the practical knowledge and hands-on expertise to stand out. Join us and unlock the power of RDBMS and SQL for your projects and professional growth.