Oracle PL SQL Online Training

This impeccable PL SQL Training Course is exclusively designed for starters as well as for experienced professionals addressing Oracle Installation, Database Design, Queries, Joins, Stored Procedures, Triggers, Remote Queries, Transactions and Tuning options with BLOB Data and JSON. Practice Material, Certification, Resume & Interview Guidance are included in this Oracle PL SQL Course

 

Oracle PL SQL Training Plans

Description PLAN A PLAN B
PL SQL
For Freshers
PL SQL
For Experienced
Duration 2.5 Weeks 5 Weeks
Real-Time Project Check-Symbol-for-Yes Check-Symbol-for-Yes
Resume Support Check-Symbol-for-Yes Check-Symbol-for-Yes
Mock Interviews Check-Symbol-for-Yes Check-Symbol-for-Yes
Placement Assistance Croos-symbol-for-Yes Croos-symbol-for-Yes
Oracle SQL & PL-SQL Croos-symbol-for-No Check-Symbol-for-Yes
Advanced PL SQL Croos-symbol-for-No Check-Symbol-for-Yes
Data Science Concepts Croos-symbol-for-No Check-Symbol-for-Yes
Total Course Fee INR 5,000/-
USD 75
INR 7,000/-
USD 100

For Weekend / FastTrack Trainings Click Here

 

PL SQL Training Schedules :

Timings Demo Date Start Date Register
Schedules for Oracle SQL & PL SQL
6:45 AM - 7:45 AM Feb 28th Mar 1st Register
8 AM - 9 AM Mar 12th Mar 13th Register
10:30 AM - 11:30 AM Feb 19th Feb 20th Register
3 PM - 4 PM Recently Started Register
9 AM - 11 AM (wk) Feb 23rd Feb 24th Register

Who can take this Course?

This PL SQL Course is helpful for aspiring Data Scientists, Data Analysts, PL SQL Developers, Report Developers and more..!

If the above schedules does not work for you, opt for PL SQL Video Training (24x7 Access)

PL SQL Training Highlights

✔ Daily Tasks ✔ Weekly Interviews ✔ Real-time Project
✔ Resume Guidance ✔ Certification Guidance ✔ Placement Services
 

Oracle PL SQL Training Course Contents:

CHAPTER 1 : INTRODUCTION TO DBMS

  • What is Data and Information?
  • Purpose of Data Management
  • File and File System For Data Storage
  • Disadvantages of File Data Management
  • Database : Purpose, Basic Terminology
  • Advantages of Database for Data Storage
  • Possible Operations on the Database
  • Database Models – Hierarchical Model
  • Network Model and Relational Model
  • Introduction to DBMS
  • Introduction to RDBMS
  • Database Design
  • Most Popular RDBMS Products
  • History, Real-time Database Examples (LIVE)

CHAPTER 2: ORACLE INSTALLATION>

  • Oracle 2018 Installation Guidance
  • Oracle 2012 Installation
  • Installation Pre-Requisites and Precautions
  • Oracle Sql Developer
  • Oracle Sql Command prompt
  • Oracle Versions and Editions Comparisions
  • Connect Sql Developer Tool
  • Creating a new User
  • Grant permission
  • Lock and Unlock User Account
  • How to Reset User Account Password
  • SQL* Plus
  • How to Establish the Oracle Connection
  • Default System user  in Oracle
  • Default Sysdba user  in Oracle

CHAPTER 3: INTRODUCTION TO RDBMS

  • Features of RDBMS
  • Advantages of RDBMS
  • E.F Codd Rules for RDBMS
  • Normalization Concepts & Process
  • Client Server Communication
  • Oracle Corporation Products
  • RDBMS from Other Vendors: Microsoft, IBM,etc
  • Oracle Versions about SQL & SQL*PLUS
  • Database Types: OLTP and OLAP Databases
  • Real-world Advantage of OLTP & OLAP
  • Why a database is called as Relational Database Model
  • Database Entites and Attributes
  • Applicative use of RDBMS Databases

CHAPTER 4 : SQL LANGUAGE COMMANDS

  • Structured Query Language (SQL) Basics
  • What is SQL?
  • What Can SQL do?
  • Possible Operations with SQL
  • Data Definition Language (DDL)
  • Data Retrieval Language (DRL)
  • Data Manipulation Language (DML)
  • Transaction Control Language (TCL)
  • Database Security and Privileges (DCL)
  • Rules of SQL Queries and Statements
  • Real-world applicative uses of SQL

CHAPTER 5.SQL BASICS

  • Creating Users and Tables
  • Table Data Inserts and Validations
  • Oracle Data Types
  • DDL Commands with Examples
  • CREATE, ALTER, TRUNCATE,DROP,RENAME
  • Learn the DESCRIBE command to display the table structure
  • DML Command DRL Commands Operators
  • INSERT, UPDATE, DELETE Statements
  • Difference between Truncate and Delete commands
  • SELECT Statements with Multiplier
  • SQL Comments
  • Single Line Comments & Multi Line Comments
  • WHERE Keyword for Query Conditions

CHAPTER 6.SQL SPECIAL OPERATORS

  • SET, AND, OR, NOT, IN
  • Special Operators – IN (NOT IN)
  • BETWEEN (NOT BETWEEN),
  • Arithmetic and Logical Operators
  • Understand Operator Precedence
  • UNION, UNION ALL, INTERSECT, MINUS
  • LIKE (NOT LIKE), IS NULL (IS NOT NULL)
  • Understanding DCL and TCL Commands
  • Transaction Concepts in Databases with SQL
  • Transaction Types and Uses
  • Commit and Rollback Operations
  • Nested Transactions with Savepoints
  • Database Read Consistency with SQL
  • DDL and DML Operations with Transactions

CHAPTER 7: GROUPING QUERY RESULTS

  • Identify Distinct Values in Tables
  • Group Function or Aggregate function
  • Group By Syntax
  • Group By Operations in Queries
  • Having Clause of DRL Statements
  • Aggregate Functions with Group By
  • Order By Clause and Group By
  • SQL Group By Statement
  • Query Execution Order with Group By

CHAPTER 8 : BUILT-IN FUNCTIONS in SQL

  • Arithmetic Functions
  • Character Functions
  • Date & Time Functions
  • Character, String Functions
  • Conversion Functions
  • General Functions
  • OLAP Functions
  • Rank(), Dense_Rank(),Row_Number()
  • NVL(),NVL2(), NullIF(),Coalesce()
  •  Other Functions Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions
  • Nest multiple functions

CHAPTER 9 : CONSTRAINTS & KEYS – Level I

  • Importance of Data Integrity
  • Working with Integrity constraints
  • Types of Integrity Constraints
  • Domain Integrity Constraint and Usage
  • Entity Integrity Constraints and Usage
  • Referential Integrity Constraint and Usage
  • Check Constraints and Usage
  • NOT NULL Constraint, UNIQUE Constraint
  • PRIMARY KEY Constraint and Usage
  • FOREIGN KEY Constraints and Relations

CHAPTER 10 : CONSTRAINTS & KEYS (Level II)

  • Multiple Constraints on Columns
  • Adding Constraints to Tables
  • Enabling - Dropping Constraints
  • Disabling Constraints on Tables
  • Querying for Constraints Information
  • Data Validations using Constraints
  • Constraints Limitations and Usage
  • System Table – User_Constraints
  • Column Level  Constraints
  • Table level Constraints
  • Self Referential Key Constraints

CHAPTER 11 : QUERIES & JOINS

  • Need for Joins and Table Comparisons
  • SET Operations on Tables and Joins
  • Join Types : Equi Join, Simple Join
  • Inner Join and Query Conditions
  • Cross Join (Cartesian Join), Conditions
  • Non-Equi Join and Self Join
  • Outer Joins – Types, Advantages and Usage
  • Cross Joins – Advantages and Limitations
  • Self Joins, Merge Joins and Sub Queries
  • Using Aliases in Joins and Conditions
  • Using Inner Self Joins with HAVING
  • JOINS and GROUP BY Queries

CHAPTER 12 : SUB QUERIES, NESTED QUERIES

  • Sub Queries in Real-world
  • Dynamic Conditions with Sub Queries
  • Sub Queries and Nested Sub Queries
  • How does oracle Execute Nested Sub Queries?
  • Inner Select and Outer Select Queries
  • Usage of Sub Queries with WHERE, HAVING
  • Impact of Having Clause in Sub Queries
  • Select Nth Highest salary
  • Select Duplicate Records
  • Delete Duplicate Records
  • Advantages of Oracle Sub Query
  • Subquery in the Select Clause Examples
  • Subquery in the From Clause Examples

CHAPTER 13 : SUB QUERIES, CORRELATED QUERIES

  • Display Odd Rows in a table
  • Display Even Rows in a table
  • Execution of Correlated Sub Queries in SQL
  • IN, ANY SOME, ALL Operators in Sub Queries
  • PAIR WISE and NON PAIR WISE in Sub Queries
  • Single Row Subquery
  • Mulitple Row Subquery
  • Multiple Column Subquery
  • UnCorrelated Subquery
  • Difference between Correlated and Non-Correlated Subquery
  • How does Oracle Execute Correlated Subquery?
  • NULLs and Correlated Sub Queries in SQL
  • Data Retrieval with EXISTS, NOT EXISTS

CHAPTER 14 : VIEWS, SYNONYMS,SEQUENCES

  • VIEWS IN ORACLE, Understanding Views & Use
  • Relational Views and Standard Views
  • SIMPLE VIEWS and COMPLEX VIEWS in PLSQL
  • Column Definitions in VIEWS
  • Using VIEWS for DML Operations
  • Forced Views, CHECK Constraints in Views
  • Creation of READ ONLY VIEWS - Realtime Use
  • TOP-N Analysis, (Indexed) Materialized Views
  • SequenWorking ces, with Synonyms
  • What is the Use of Synonym in Oracle?
  • Difference between View and Synonym in Oracle
  • When should Table Synonyms be used?
  • Types of Synonym
  • Public Synonym and Private Synonyms
  • All_Synonyms and Dba_Synonyms System Tables
  • Creating Index Tables – Purpose

CHAPTER 15 : PERFORMANCE (QUERY) TUNING

  • Indexes - Definition and Architecture
  • B Tree Concept in Indexes
  • Clustered and Non clustered Indexes
  • Primary Key and Clustered Index
  • Unique Key and Non Clustered Indexes
  • Simple Index
  • Materialized Views - Indexed Views
  • Composite Index
  • Function Based Index
  • User_indexes System Table
  • Rebuild Index
  • Partitioning Tables using PL/SQL
  • Working with Very Large Tables
  • Range Partitions and Hash Partition
  • Partion “VALUES LESS THAN “ Clause
  • List Partition and Composite Partition
  • Parallel Query Process with Partitions
  • Performance Tuning Advantages

CHAPTER 16 : PL/SQL (PROCEDURE LANGUAGE – SQL)

  • Introduction to Programming Languages
  • Introduction & Advantage of PL/SQL
  • PL/SQL Architecture, PL/SQL Data types
  • Difference between SQL and PL/SQL
  • PL-SQL Programming Structure
  • How PL/SQL Works?
  • Example of PL/SQL Features
  • Simple PL/SQL Programs
  • Printing Variables
  • DBMS_Output Package Usage
  • The %TYPE Attribute and %ROWTYPE Attribute
  • Variable and Constants, Using Built-in Functions
  • Conditional and Unconditional Statements

CHAPTER 17 : PL/SQL – (CONTROL STRUCTURE) - Level I

  • Simple If, If..Else. Nested If..Else Statements
  • Ladder, Selection, Simple Case Statements
  • GOTO Label and EXIT Statements in PL/SQL
  • Iterations in PL/SQL, Simple LOOP, WHILE
  • FOR LOOP and NESTED LOOPS in PLSQL
  • Overview of PL/SQL Control Structures
  • PL/SQL Select statements
  • PL/SQL Delimiters
  • Iterations in PL/SQL, Simple LOOP, WHILE
  • FOR LOOP and NESTED LOOPS in PLSQL

CHAPTER 18 : PL/SQL – (CONTROL STRUCTURE) – Level II

  • SQL within PL/SQL, Composite Data Types
  • Cursor Variables and Management in PL/SQL
  • Implicit & Explicit Cursors and Attributes
  • Cursor with Parameters and Nested LOOPs
  • Cursors with Sub Queries, Reference Cursors
  • Types of Cursors
  • Implicit Cursors
  • Explicit Cursors
  • Parameterized Cursors
  • REF Cursors
  • Record and PL/SQL Table Types. Real-time Use
  • What are Oracle-Supplied Packages?
  • Examples of Some of the Oracle-Supplied Packages
  • How Does the DBMS_OUTPUT Package Work?

CHAPTER 19: LOCKS in ORACLE TABLES

  • Open Transactions and Lock Concepts
  • Lock Types and Locking Mechanism
  • Row Level Locks for Table Data Access
  • Table Level Locks and Query Blocking
  • Shared Lock and Real-time Use
  • Shared Update Lock and Real-time Use
  • Exclusive Lock and Real-time Use
  • DeadLock : Detection, Prevention, Avoidance
  • Implicit Locking Concepts in Oracle with PLSQL
  • How to check how many locks are occurred?
  • LOCK Hints and Query Blocking

CHAPTER 20 : ADVANCED PL/SQL - 1

  • Procedures in PL/SQL: STORED PROCEDURE
  • PROCEDURES @ Parameters (IN, OUT, IN OUT)
  • POSITIONAL Notation and NAMED Notation
  • Procedure with Cursors and Sub Queries
  • ALTER and DROP of Stored Procedures
  • Functions in PL/SQL: Real-time Usage
  • User Defined Functions, Nested Functions
  • Using Functions in SQL Statements
  • Working with Procedures and Functions
  • Comparing Stored Procedures and Functions
  • Using SPs with Table Value Functions
  • Using SPs for Dynamic SQL Statements
  • Loops and Table Variables in SQL Programs
  • Merge, NVL2(), NULLIF(), COALESCE()
  • CASE & Temporary /Global Tables

CHAPTER 21 : ADVANCED PL/SQL - 2

  • Cross Tab Views using Pivot/Unpivot Operators
  • Follows Clause and READONLY Tables
  • IN-LINE VIEWS. Manipulations with Triggers
  • Purity Levels in Oracle - with Examples
  • User_Source Dictionary Table Packages
  • Creating PACKAGE Specifications with PLSQL
  • PACKAGE Body - Examples with Big Data Tables
  • Private and Public Objects in PACKAGE
  • Types of Exceptions: User Defined Exceptions
  • EXCEPTIONS in PL/SQL with Real-time
  • Event Handling and Error Handling Techniques
  • Important Error Code Values in PL/SQL
  • RAISE_APPLICATION_ERROR Procedure

CHAPTER 22 : ADVANCED PL/SQL - 3

  • Pragma_Autonomous_Transaction() with SPs
  • Returning into clause, Bulk Collect
  • For All, Definer/Invoker Rights & Usage
  • About Flash Back Queries, Dynamic SQL
  • Flash Back Command, Purge Command
  • Regular Expressions in PLSQL
  • What is the Recycle Bin?
  • How to Delete Recycle Bin Table?
  • How to Delete Recycle Bin?
  • SQL Loader
  • Abstract Data types
  • DML Error Logging and Virtual Columns

CHAPTER 23 : ADVANCED PL/SQL - 4

  • Types of Triggers, Row Level Triggers
  • Statement Level Triggers, DML Triggers
  • DDL Triggers and Schema Level Triggers
  • Using OLD & NEW References, Trigger Auditing
  • Enabling / Disabling Triggers, Dropping Triggers
  • Triggers in PL/SQL and Data Manipulations
  • Using Memory Tables in Triggers
  • DML and DDL Events with Triggers
  • Compound Triggers, New data types
  • Working with LARGE Tables in PLSQL
  • New: EXTRACT(), Autonomous Transaction

CHAPTER 24: IMPLEMENTING OBJECT TECHNOLOGY – Level I

  • Object Technology and Applicative Use
  • OOPS-Object Instances, Creation of Objects
  • Creating User Defined Data Types
  • Creating Object Tables in Oracle
  • Inserting rows in Table using Object
  • Retrieving data from Object Based Tables
  • Calling a Method, Indexing Abstract
  • Data type Attributes in PLSQL
  • Advantages of Collections

CHAPTER 25: IMPLEMENTING OBJECT TECHNOLOGY – Level II

  • Ref Cursor (Dynamic Cursor), Weak Ref Cursor
  • Strong Ref Cursors and Nested Tables
  • Associative Arrays, VARRAYS/VARYING arrays
  • Creating tables using Nested Tables
  • Inserting, Updating & Deleting
  • Nested, Table Records
  • Perform a Basic Search using the REGEXP_LIKE function
  • Patterns using the REGEXP_INSTR function
  • Extract Substrings using the REGEXP_SUBSTR function
  • Replace Patterns Using the REGEXP_REPLACE
 
24x7 LIVE Online Server (Lab) with Real-time Databases. Course includes ONE Real-time Project. Register Today
All Classes are Instructor-Led & LIVE. Completely Practical and Real-time with Study Material, Session Notes, Tasks and 24x7 LIVE Server.
 

Python Training - Highlights :

  • Completely Practical and Real-time
  • Suitable for Starters + Working Professionals
  • Session wise Handouts and Tasks + Solutions
  • TWO Real-time Case Studies, One Project
  • Weekly Mock Interviews, Certifications
  • Certification & Interview Guidance
 
 
  • Detailed SQL Server Architecture, DB Design
  • Query Tuning, Stored Procedures, Linked Servers
  • In-Memory, DAC and Contained Databases
  • Routine DBA Activities, Emergency DBA Activities
  • SQL Profiler, SQLDIAG, DTA and Litespeed Tools
  • High Availability, Disaster Recovery, Always-On
Register Today  Other Popular Courses: SQL DBA Training, MSBI Training, SSIS Training, SSAS Training, SSRS Training [+] More Courses

Job-Oriented Real-time Training @ SQL School Training Institute - Trainer: Mr. Sai Phanindra T