DATABASE (ORACLE)
About Course
The Database (Oracle) Course is designed to provide learners with a comprehensive understanding of relational databases, Oracle SQL, PL/SQL, and Linux fundamentals for database management. This course covers SQL programming, database administration, performance tuning, and integration with applications and BI tools, equipping learners with practical skills to manage enterprise databases. Hands-on labs, a mini project on SQL & Linux integration, and a final project implementing a real-world database solution prepare students for industry-ready roles as Database Administrators (DBA) or SQL Developers.
Course Objectives
Pre-Requisites
This course is ideal for any IT professional with basic knowledge of:
Basic understanding of programming and computer fundamentals.
Familiarity with Linux or any operating system for basic command-line operations is helpful.
Duration
Course Length: 6 Months
Session Time: 8 Hours per day
Includes access to recorded sessions for revision
What You'll Learn
By completing this course, you’ll be able to:
Master Oracle SQL and PL/SQL for data manipulation and procedural programming.
Manage database users, roles, tablespaces, and security with Oracle DBA concepts.
Perform database monitoring, backup, recovery, and performance tuning.
Automate routine tasks and scripts using Linux commands and shell scripting.
Integrate Oracle with applications, APIs, and BI tools for reporting and analytics.
Apply practical knowledge in mini and final projects, building end-to-end database solutions.
Who Can Join
Aspiring Database Administrators (DBAs) and SQL Developers.
Software Developers and Data Analysts looking to enhance database management skills.
IT professionals and students who want practical experience with Oracle, SQL, and Linux for enterprise applications.
Training Curriculum
Overview of Databases: RDBMS vs NoSQL
Importance of Oracle Database in Industry
Oracle Database Architecture: Instance & Database
Installation and Setup of Oracle Database (Windows/Linux)
SQL*Plus and SQL Developer Introduction
Database Objects: Tables, Views, Indexes, Sequences
Data Types in Oracle
Basic DML Commands: SELECT, INSERT, UPDATE, DELETE
Filtering Data: WHERE, ORDER BY, DISTINCT
Using SQL*Plus & Oracle SQL Developer
Advanced Joins: INNER, OUTER, CROSS, and Self Joins
Subqueries & Nested Queries: Correlated and non-correlated
Set Operations: UNION, INTERSECT, MINUS
Aggregations & Grouping: GROUP BY, HAVING, SUM, AVG, COUNT
Views & Indexes: Creating views, materialized views, and index optimization
Transactions & Data Integrity: COMMIT, ROLLBACK, constraints, and basic query optimization
Linux Basics for DBAs: Commands & Navigation
File Permissions & Ownership
Managing Users and Groups
Linux File System Structure for Oracle
Basic Shell Scripting for DB Automation
Creating & Managing Users, Roles, and Privileges
Tablespace Management: Creating, Altering, and Dropping
Backup and Recovery Concepts (RMAN Basics)
Monitoring Database Health
Database Security Best Practices
Objective: Apply SQL queries and Linux commands to manage a sample database
Tasks:
Create tables, insert data, and perform queries in Oracle
Automate backup, restore, and user management tasks with Linux scripts
Generate reports from SQL queries
SQL Query Optimization & Execution Plans
Indexing Strategies for Performance
Partitioning & Data Archival
Managing Database Alerts & Logs
Advanced Security: Roles, Profiles, and Audit
Connecting Oracle with Applications (Java/Python)
Using SQL Loader for Data Import
Integration with BI Tools (Power BI/Tableau)
Database APIs and Drivers
Objective: Implement a full-fledged database solution for a real-world scenario
Tasks:
Design a database for Sales, HR, Banking, or Hospital Management
Implement tables, relationships, and constraints
Automate routine DBA tasks with Linux scripts
Optimize queries and generate reports
Final presentation and documentation of the project