In this course, you will understand the working of Oracle DBMS in-depth. First, you will start with an introduction to DBMS, the difference between data and database; after that, you will learn how to create tables and store or insert data inside them. Later, you will also learn various miscellaneous and small topics around Oracle, which are very important from an interview perspective.
Not only that, but you will also understand the core topics of SQL, such as functions, clauses, joins, and many more, which are used to write a query and find the resultant data for a problem in a database. At last, you are going to end this course by learning about SQL commands and Database objects.
Define Database Management Systems (DBMS). Differentiate raw data from structured databases and explore core DBMS architecture designed to resolve data redundancy and management challenges.
Construct database schemas using the CREATE TABLE command. Define precise Oracle data types (VARCHAR2, NUMBER) and enforce referential data integrity by establishing Primary Keys and Foreign Keys.
Configure a functional local development workspace. Execute the step-by-step installation of the Oracle Database environment to write, test, and deploy SQL queries effectively.
Master the theoretical foundation of Oracle SQL. Apply the Relational Model by mapping relations (tables), attributes (columns), and tuples (rows), and implement database Normalization principles.
Navigate critical Oracle functionalities for database administration. Query system metadata using Data Dictionary Views (USER_TABLES, ALL_OBJECTS) and automate primary key values via Sequence Generation.
Manipulate database records using Oracle SQL Operators. Apply Arithmetic operators for calculations, Comparison operators for filtering, Logical operators (AND, OR, NOT), and Set operators (UNION, INTERSECT) to combine query results.
Perform complex data transformations using built-in Oracle functions. Implement Single-Row functions (character manipulation, numeric math, date formatting) and Multiple-Row Aggregate functions (SUM, AVG, COUNT).
Structure robust SQL queries to filter and sort enterprise data. Utilize the WHERE clause for row-level filtering, GROUP BY and HAVING for aggregated data segments, and ORDER BY for result sorting.
Execute multi-step data retrieval using Nested Queries (Subqueries). Embed inner subqueries within outer queries to isolate specific values, perform comparative analysis, and resolve complex data fetching requirements.
Combine related dataset columns using relational SQL Joins. Execute Inner Joins for matched records, Outer Joins (Left, Right, Full) for unmatched records, and Self Joins for hierarchical data relationships.
Categorize and execute the four pillars of SQL commands. Utilize Data Definition Language (DDL), Data Manipulation Language (DML), Data Control Language (DCL), and Transaction Control Language (TCL) commands like COMMIT and ROLLBACK.
Optimize database performance and security using Oracle Database Objects. Abstract underlying table data using virtual Views, accelerate query retrieval speeds using Indexes, and simplify object referencing using Synonyms.
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