Master SQL for Oracle Database with Real-Time Expertise

Overview

The Oracle SQL Training Course at Growup Technologies is designed to provide comprehensive knowledge of Oracle Database management and SQL query optimization. This course will equip you with the skills to write efficient SQL queries, manage databases, and interact with Oracle’s relational database system. You will gain expertise in database creation, manipulation, and retrieval of data, as well as performance tuning and advanced SQL operations.

Why Learn Oracle SQL?

Oracle SQL is the industry-standard query language for Oracle databases. By learning Oracle SQL, you’ll be able to:

• Create, manage, and manipulate databases and tables.
• Write optimized SQL queries for efficient data retrieval.
• Implement complex SQL operations for data analysis and reporting.
• Work with one of the most powerful relational database systems used across industries.

Course Syllabus (Detailed Modules)

Module 1: Introduction to Oracle Database

• Introduction to databases and Oracle DBMS (Database Management System).
• Overview of Oracle architecture: Tablespaces, Segments, Extents, and Blocks.
• Setting up Oracle Database environment (Oracle 19c/18c).
• Oracle Database User Management.
• Understanding database connections and access control.

Module 2: SQL Basics and Syntax

• Introduction to SQL and its components.
• SQL data types in Oracle (CHAR, VARCHAR2, NUMBER, DATE, etc.).
• Writing basic SQL queries: SELECT, FROM, WHERE, and ORDER BY.
• SQL operators: Comparison, logical, and arithmetic operators.
• Working with string, number, and date functions in SQL.

Module 3: SQL Data Retrieval

• Filtering data with WHERE clause and logical operators (AND, OR, NOT).
• Sorting data with ORDER BY clause.
• Using DISTINCT to eliminate duplicate records.
• Limiting results with the ROWNUM and FETCH clauses.
• Grouping data with GROUP BY and HAVING.
• Aggregating data using COUNT, SUM, AVG, MIN, MAX functions.

Module 4: Working with Joins and Subqueries

• Introduction to joins: Inner Join, Left Join, Right Join, and Full Join.
• Self joins and cross joins.
• Using subqueries in SELECT, INSERT, UPDATE, and DELETE statements.
• Correlated subqueries vs. Non-correlated subqueries.
• Nested queries and their performance impact.

Module 5: Data Manipulation (DML)

• Inserting data into tables using INSERT INTO.
• Updating data with the UPDATE statement.
• Deleting data with DELETE and TRUNCATE statements.
• Using COMMIT, ROLLBACK, and SAVEPOINT for transaction management.
• Introduction to the MERGE statement for conditional inserts/updates.

Module 6: Creating and Managing Database Objects

• Creating tables with CREATE TABLE statement.
• Modifying table structures using ALTER TABLE.
• Dropping tables and managing dependencies.
• Constraints: PRIMARY KEY, FOREIGN KEY, UNIQUE, NOT NULL, and CHECK.
• Working with views: Creating, modifying, and dropping views.
• Introduction to indexes for improving query performance.

Module 7: Advanced SQL Operations

• Working with complex SQL queries: CASE statements and Conditional logic.
• Using regular expressions in SQL queries (REGEXP_LIKE, REGEXP_INSTR).
• Complex joins: Using joins with GROUP BY and HAVING.
• Set operations: UNION, INTERSECT, and EXCEPT.
• Managing large datasets with partitioning and window functions.

Module 8: SQL Performance Tuning

• Introduction to query optimization techniques.
• Analyzing execution plans with EXPLAIN PLAN.
• Indexing and its impact on performance.
• Understanding and resolving performance bottlenecks in SQL queries.
• Using hints for SQL optimization.
• Caching and query rewriting strategies.

Module 9: Working with Transactions and Concurrency

• Introduction to transactions and their properties (ACID).
• Implementing transaction control: COMMIT, ROLLBACK, and SAVEPOINT.
• Locking mechanisms: Row-level locks, table-level locks.
• Isolation levels and managing concurrent transactions.
• Deadlock detection and prevention strategies.

Module 10: Advanced SQL Features in Oracle

• Using Oracle analytic functions: RANK(), DENSE_RANK(), ROW_NUMBER(), LEAD(), and LAG().
• Working with hierarchical data using CONNECT BY and LEVEL.
• Flashback queries: Recovering historical data.
• Using PL/SQL functions and procedures in SQL queries.
• Working with triggers, sequences, and stored procedures in Oracle.

Module 11: Backup, Recovery, and Security

• Introduction to Oracle Database backup and recovery strategies.
• Understanding Oracle RMAN (Recovery Manager).
• Managing Oracle Database users and roles.
• Oracle Database security best practices.
• Implementing encryption for data security in Oracle SQL.

Module 12: Real-Time Project and Certification Preparation

• Hands-on project: Building an end-to-end database system with SQL.
• Designing normalized relational database schemas.
• Writing complex queries for reporting and analytics.
• Preparing for Oracle SQL certification exams (1Z0-071).
• Final project: Data analysis and reporting for real-world business requirements.