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Oracle

[SQL & PL/SQL]

Course Overview

Oracle SQL & PL/SQL are essential for managing and manipulating databases efficiently. This course provides hands-on training to help you master SQL queries and PL/SQL programming. You will learn how to retrieve, modify, and manage data in Oracle databases.

Designed for beginners and professionals, this training covers everything from basic SQL commands to advanced PL/SQL procedures. With real-time projects and expert guidance, you will gain in-depth database knowledge.

By the end of this course, you will be able to write optimized SQL queries, create stored procedures, and manage database transactions. Whether you are an aspiring database administrator, developer, or data analyst, this course will set you on the right path.

Learn software skills with real experts, either in live classes with videos or without videos, whichever suits you best.

Course Details:

Course Price:

with videos : ₹ 5,000/-
with out videos : ₹ 2,000/-

Lesson Duration

60 Days

Language:

English

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Description

This Oracle SQL & PL/SQL Training in KPHB is designed to provide a complete understanding of database programming. You will start with SQL (Structured Query Language) to learn how to interact with databases efficiently. Later, you will explore PL/SQL (Procedural Language for SQL) to develop stored procedures, functions, and triggers.

Throughout the course, you will work on real-world database scenarios. Hands-on exercises, case studies, and project-based learning will help you apply theoretical concepts in practical environments. Our expert trainers ensure that you grasp the core principles of Oracle databases with ease.

By completing this course, you will be proficient in database management, writing efficient queries, and automating complex database tasks.

Course Objectives

  • Master SQL queries for data retrieval, modification, and deletion.
  • Understand relational database concepts and normalization techniques.
  • Learn to create tables, views, indexes, and constraints.
  • Write and optimize PL/SQL programs, including stored procedures and functions.
  • Handle transactions and implement error handling techniques.
  • Work with triggers, cursors, and packages for database automation.
  • Gain hands-on experience with real-time Oracle database projects.

Prerequisites

  • Basic knowledge of databases is helpful but not mandatory.
  • Familiarity with programming concepts will be an advantage.
  • No prior SQL or PL/SQL experience is required—this course covers everything from scratch.

Course Curriculum

  • Introduction to File Management System
    • Advantages of FMS
    • Disadvantage of FMS
  • Introduction to DBMS
  • DBMS Architecture
    • Logical Data Independence
    • Physical Data Independence
  • Database Models
    • Hierarchical Model (HMS / HDBMS)
    • Network Model (NDBMS)
    • Relational Model (RDBMS)
  • Oracle Architecture
  • Client/Server Architecture
  • Normalization
    • Why Normalization Process
    • Functional Dependency(FD)
    • Super Key, Candidate Key,
    • First Normal Form
    • Second Normal Form
    • Third Normal Form
    • BCNF
    • Fourth Normal Form
    • Fifth Normal Form
  • CODD Rules
  • Oracle Versions
  • Oracle Installation
  • Data types In Oracle
  • SQL Sub-Languages
    • DDL(Data Definition Language)
    • DML (Data Manipulation Language)
    • DRL (Data Retrieval Language)
    • TCL (Transaction Control Language)
    • DCL(Data Control Language)
  • Operators In Oracle
    • Arithmetic operator
    • Comparison Operators
    • Assignment operators
    • Logical Operators (AND,OR ,NOT)
    • Special Operators (IN, NOT IN, BETWEEN, NOT BETWEEN, LIKE, NOT LIKE, IS NULL, IS NOT NULL)
    • Set operators (UNION, UNION ALL, INTERSECT, MINUS)
    • Practical Examples using OPERATORS
  • Pre-Defined Functions In Oracle
    • Column Level Functions
    • Group / Aggregate Functions
    • Conversion Functions
    • General Functions
    • Analytical Functions
  • Data Aggregation using GROUP BY Clause
    • Importance of GROUP BY and HAVING Clause
    • Differences Between WHERE vs HAVING clause
    • ROLLUP, CUBE, GROUPING, GROUPING_ID
  • Integrity Constraints
    • What is a Constraint and Importance of Constraints
    • Types of Integrity Constraints
    • Declaring Constraints
    • Adding & Dropping Constraints
    • Enable & Disabling Constraints
    • Initially Deferred Deferrable Options
    • Getting Constraint Names from Data Dictionary
  • JOINS
    • Introduction Joins
    • Importance of Joins in Real Time
    • Types of Joins
    • Outer Join
    • Non-Equi Join
    • Cartesian Product / Cross Join
    • Self Join
    • ANSI Joins
    • Real-time Queries using Joins
  • SUB-QUERIES
    • Introduction to Sub-Queries
    • Usage of Sub-Queries
    • Types of Sub-Queries
  • DATABASE TRANSACTIONS
    • Introduction
    • Types of Transaction Commands
    • ACID Properties
  • DATABASE SECURITY
    • Introduction
    • Creating Users
    • Types of Privileges
    • Granting and Revoking Privileges
  • LOCKING MECHANISM
    • Concurrent Transactions
    • Types of Locks
    • Isolation Levels
  • SCHEMA OBJECTS
    • VIEWS
    • INDEXES
    • SYNONYMS
    • SEQUENCES
    • ROLES
  • PSEUDO Columns
    • Importance of Pseudo columns
    • Types of Pseudo columns
  • SET Operators
    • Importance of Set Operators
    • Rules to use Set Operators
    • Types of Set Operators
  • OBJECT TECHNOLOGY
    • Introduction to Object types
    • Working with VARRAYS , NESTED TABLES
    • ROW objects vs Column Objects
    • REF & DEREF Functions
  • PARTITIONS
    • Importance of Partitions
    • Types of Partitions
    • Sub-Partitions
    • Altering Partitions
  • HIERARCHICAL QUERIES
    • START WITH clause
    • CONNECT BY PRIOR
  • MATERIALIZED VIEWS
    • Importance of Materialized Views
    • Creating Materialized Views
    • REFRESH, FAST REFRESH, COMPLETE REFRESH
    • ENABLE QUERY REWRITE Options
    • Difference between Views vs Materialized Views
  • CLUSTERS
    • Importance of Cluster
    • Creating Clusters
  • Oracle 10g, 11g, 12c & 18c Features
    • Temporary Tables/Global Tables
    • Flashback Queries
    • Purge Command, Recycle bin
    • Pivot Operator
    • Virtual Columns
    • Read-only Tables
    • TOP-N rows
    • Regular Expressions
    • JSON/SQL(12c)
  • Introduction to PL/SQL
  • Advantages of PL/SQL
  • PL/SQL Architecture
  • PL/SQL Data types
  • Variables and Constants
  • PL/SQL Blocks
    • Anonymous Blocks
    • Named Blocks
  • Embedding SQL statements in PL/SQL
  • Conditional and Unconditional Statements
    • Simple if,
    • If…else,
    • Nested if,
    • if…else ladder
    • Selection Case, Simple Case
    • Goto, Exit
  • Iteration Control Statements
    • Simple LOOP
    • While LOOP
    • For LOOP
  • Cursor Management in PL/SQL
    • Introduction to Cursors
    • Types of Cursors
    • Static Cursors
    • Dynamic Cursors
    • Cursor Attributes
    • Cursor with Parameters
    • Cursors with LOOPS
    • FOR UPDATE of clause
    • Current of clause
    • Nested Cursors
  • Implementing Object Types in PL/SQL
    • Collections
    • Records
  • Exception in PL/SQL
    • Importance of Exceptions
    • Types of Exceptions
    • RAISE statement
    • RAISE_APPLICATION_ERROR
    • Pragma Exception_Init
    • SQLCODE, SQLERRM Functions
  • SUB PROGRAMS
    • Introduction to Sub-Programs
    • Differences between Anonymous Block vs Named Blocks
    • PROCEDURES
    • USER DEFINED FUNCTIONS
  • PACKAGES
    • Introduction to Packages
    • Creating PACKAGE Specification and PACKAGE Body
    • Private and Public Variables in PACKAGE
    • Procedure Overloading
    • Function Overloading
    • Calling Procedures & Functions in Packages
    • Dropping Package
  • DATABASE TRIGGERS
    • Introduction to Triggers
    • Types of Triggers
    • Mutating Errors
    • Trigger Auditing
    • Triggers using FOLLOWS clause(11g)
    • Compound Triggers(11g)
    • Instead of Triggers
    • Calling Packages from Triggers
    • Enable / Disable Triggers
    • Differences Between Triggers & Constraints
    • Dropping Triggers
  • DYNAMIC SQL
    • Usage of Dynamic SQL
    • ORALCE SUPPLIED PACKAGES
    • Access Files with UTL_FILE package
    • working with LOBS Using DBMS_LOB Package
  • Advance Concepts
    • Data Pumping (Export & Import0
    • SQL * LOADER

Who can learn this course

  • Students and fresh graduates looking to start a career in database management.
  • Software developers who want to enhance their SQL & PL/SQL skills.
  • Data analysts and business intelligence professionals.
  • IT professionals and database administrators seeking Oracle expertise.
  • Anyone interested in learning database programming for career growth.

Enroll Now!

Enroll today in our Oracle [SQL & PL/SQL] Training in KPHB and build a strong foundation in database management!

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FAQ's

Oracle is a relational database management system (RDBMS) widely used for storing, managing, and retrieving structured data. It is known for its high performance, scalability, and security, making it ideal for enterprise applications.

Oracle is important because:

  • Used in enterprise applications – Banking, healthcare, and e-commerce industries rely on Oracle databases.
  • Highly secure & reliable – Ensures data integrity and compliance with industry standards.
  • Supports large-scale data processing – Handles millions of transactions per second.
  • Integrates with cloud platforms – Oracle Cloud, AWS, and Azure support Oracle databases.
  • Essential for database administrators (DBAs) – Managing Oracle databases is a high-demand skill.

Oracle is a powerful and trusted database system used by Fortune 500 companies worldwide.

Oracle database learning includes:

  • SQL & PL/SQL – Writing queries, stored procedures, and functions.
  • Database Architecture – Tables, indexes, partitions, and schemas.
  • Backup & Recovery – Using RMAN (Recovery Manager) for database recovery.
  • Performance Tuning – Optimizing queries and indexing for better efficiency.
  • User Management & Security – Role-based access control (RBAC) and data encryption.
  • High Availability – Oracle Real Application Clusters (RAC) and Data Guard.
  • Cloud Database Management – Oracle Cloud services for database hosting.

These topics help students become skilled Oracle database developers and administrators.

Oracle databases power applications in various industries:

  • Banking & Finance – Secure transaction processing and risk management.
  • Healthcare – Storing and managing patient records.
  • E-commerce & Retail – Handling customer orders, payments, and inventory.
  • Telecommunications – Managing customer data, call logs, and billing.
  • Enterprise Resource Planning (ERP) – Oracle ERP solutions for business process management.
  • Cloud Computing – Oracle databases are available on Oracle Cloud, AWS, and Azure.

Oracle is trusted for critical data management in enterprise applications.

Learning Oracle provides several advantages:

  • High Demand for Oracle DBAs & Developers – Many companies use Oracle databases.
  • Career Growth Opportunities – Become a Database Administrator (DBA), Data Analyst, or Oracle Developer.
  • Scalability & Performance – Learn how to manage large databases efficiently.
  • Cloud Integration – Oracle skills help in cloud database management.
  • Competitive Salaries – Oracle professionals earn high salaries worldwide.

With Oracle expertise, you can build a strong career in database administration and cloud computing.

To start with Oracle, you should have:

  • Basic knowledge of databases – Understanding relational databases and SQL.
  • Familiarity with SQL queries – SELECT, INSERT, UPDATE, DELETE, JOIN, etc.
  • Basic programming knowledge – Python, Java, or PL/SQL helps in database development.
  • Understanding of Operating Systems – Linux/Windows basics for database management.
  • Knowledge of Cloud Computing (optional) – AWS, Azure, or Oracle Cloud concepts.

Beginners can start with SQL basics before moving to PL/SQL and database administration.

With Oracle skills, you can apply for:

  • Oracle Database Administrator (DBA) – Manages Oracle database performance, security, and backups.
  • SQL Developer – Writes queries and stored procedures for applications.
  • Oracle PL/SQL Developer – Develops database programs and business logic using PL/SQL.
  • Data Analyst – Uses Oracle databases for data processing and reporting.
  • Cloud Database Engineer – Works with Oracle databases in the cloud.
  • Big Data Engineer – Integrates Oracle databases with big data tools like Hadoop and Spark.

Oracle professionals are in high demand across banking, healthcare, retail, and enterprise IT sectors.

NNV Naresh is an entrepreneur armed with a noble vision to make a difference in the career aspirations of the students. 20+ years of experience in the education sector, Naresh is the founder and the driving force behind the victorious journey of NareshIT.

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