Essentials of Database Management Systems

Learn tuple relational calculus, a non-procedural query language using tuple variables and predicates. Explore existential and universal quantifiers, trc syntax, and example queries on student and course data.

Explore domain relational calculus, a non-procedural first-order logic language using domain variables and existential and universal quantifiers to define predicates and queries.

Explore relational algebra as a query language for relational databases, using unary and binary operators like selection (sigma), projection, union, intersection, difference, Cartesian product, and renaming.

Master sql concepts and commands for relational databases, focusing on data types, ddl, dml, and dcl categories, including create, alter, drop, truncate, rename, constraints, and permissions.

Learn the core DML commands in SQL: insert, select, update, and delete, to manipulate data, with non procedural, transactional behavior and practical syntax examples.

Explore SQL aggregate functions like count, sum, average, maximum, and minimum with group by and having, then use where and order by, and apply predefined numeric and string functions.

Learn about data control language (dcl) commands in mysql, including commit, rollback, savepoint, and set transaction, and see how grant and revoke manage access alongside dml and ddl basics.

Explore SQL constraints, including primary key, foreign key, unique, not null, check, and default. Learn how to apply, modify, and drop constraints using create, alter, and drop table statements.

Explore sql joins, including inner and outer joins, natural and equijoins, and learn how to combine employee and role tables using on conditions and salaries.

Explore set operations in SQL using MySQL, including union, union all, intersect, and minus, with examples that combine and compare two employee tables by matching columns and data types.

Explore subqueries, including nested and correlated forms, that run inner queries to supply values for outer statements. Learn to use subqueries with select, insert, update, delete, and exists, any, all.

Discover how SQL views act as virtual tables and learn to create view statements, query and manage views from single or multiple tables, including inserting, deleting, and restricting data access.

Explore PL/SQL, Oracle’s procedural extension to SQL, with variables, constants, exceptions, and control structures like if, case, while, for, and go to, plus stored procedures, functions, and triggers.

Explore PL SQL triggers, including before, after, and instead of triggers, and their uses. Understand insert, update, and delete events, trigger syntax, and examples like data validation and audit logs.

Learn how cursors retrieve and navigate result sets row by row in PL/SQL, with implicit cursors auto-created and explicit cursors controlled by the programmer, using open, fetch, and close.

Normalization reduces redundancy and anomalies by organizing data and tables, leading to a well-structured database with relational integrity, and avoids insertion, deletion, and updation anomalies.

Learn why normalization reduces redundancy and anomalies, ensures data integrity, and improves query performance by applying first through fifth normal forms, including Boyce-Codd normal form (BCNF) and lossless join.

Explore the first normal form by defining atomic, single-valued attributes and eliminating multi-valued or composite fields, illustrated with a customer table deconstructed into separate rows to enforce 1nf.

Master second normal form by ensuring non-key attributes are fully functionally dependent on the primary key and by eliminating partial dependencies through table decomposition.

Understand third normal form (3nf), extending 1nf and 2nf with no transitive dependencies. See how decomposition reduces data duplication and preserves integrity, using primary, candidate, and super keys.

Master Boyce-Codd normal form, a stricter version of third normal form requiring every functional dependency's left side to be a superkey. See an item-manufacturer example illustrating bc nf decomposition.

Explore fourth normal form (4NF) and its requirement to eliminate multivalued dependencies under BCNF. See how decomposing tables, like student id with course and hobby, achieves 4NF.

Fifth normal form extends fourth normal form, imposes no join dependencies, and ensures lossless joins when decomposing tables into sub tables to minimize redundancy.