Oracle Training In Madurai

Trusted By 30,000+ Students
Stay Ahead With FITA

If you are searching for a high-quality Oracle Training in Madurai, look no further than FITA. We provide the Oracle training in a manner that sets you up to become an Oracle certified professional. At FITA, we have designed the Oracle course to be industry oriented so that students and professionals that get trained in our institution are ahead of the competition.

Why Oracle?

The IT industry is a quickly expanding one with numerous job opportunities for those with qualifications. Oracle training or Oracle Database certification is one way of assuring a bright future for your career as opportunities are huge for qualified professionals.

Any database administrator is in charge of installing and maintaining data (both online and offline) and troubleshoot any problems that arise thereof. Having a qualification in Oracle Coaching Center in Madurai makes you an expert in many skills related to the upkeep of data of an organization. Data is becoming more valuable these days.

The Oracle Corporation's Database Management Systems are used at enterprise levels by a majority of the MNCs in different market sectors. An Oracle certified professional thus continues to be in great demand.

Oracle Training In Madurai FITA

We at FITA, offer exclusive Oracle Classes in Madurai so that students can become experts in various aspects of Oracle Database Management systems. Our faculty members are ones with rich industry experience in data management. Our batch sizes are small allowing individual attention. The course ware is comprehensive and is replete with hands-on practical exercises that are directed towards making you an Oracle certified professional.

Detailed Syllabus

Introduction to SQL constructs

Basic SQL statements Review
Select, Project, Join
Describing Oracle tables
Restricting row returns


Basic reports
Set commands
Column wrapping
Breaks and summaries
Adding prompts to queries

Joining Oracle tables

Equi-join, Outer join
Hiding joins by creating views
Exercise – writing subquery
Correlated subquery
Non-correlated subqueries

Advanced SQL operators

Between operator
IN and NOT In operators
EXISTS clause
Using wildcards in queries (LIKE operator)

Aggregation in SQL

Count(*), Sum, Avg
Min and max
Using the group by clause

SQL access methods

Review of Basic joining methods
Merge join, Hash Join, Nested Loop join
Advanced SQL operators
Between operator

SQL Tuning

Introduction to rule-based optimization and cost-based optimization
Collecting table and index statistics
Column histograms
Changing default optimizer modes
Using SQL*Trace
SQL reusability within the library cache
Table high-water mark
Table striping and table partitions
Interpreting EXPLAIN PLAN Output
Using indexes to improve performance
Identifying full-table scans
Re-writing SQL queries
Using hints to improve SQL performance
Using parallel query to improve performance
Tuning sub-queries

PL/SQL is an extension of SQL together with procedural features of a programming language. It supports conditional looping, variables and exceptions. Introduced by Oracle Corporation in the early 1990s, it helps to enhance the features of SQL.

PL/SQL tables

Defining PL/SQL tables
Reasons to use PL/SQL tables
Populating a PL/SQL table
Retrieving from a PL/SQL table

Dynamic SQL in PL/SQL

Introduction to the dbms_sql package
Creating a dynamic SQL statement

Nested blocks in PL/SQL

Creating nested blocks
Understanding scope in nested blocks

Triggers in PL/SQL

Triggers and database events
Defining a trigger
Timing a trigger
Enabling and disabling a trigger

Stored procedures, functions and packages

Basics of stored procedures
Basics of functions
Basics of packages
Defining stored procedures & functions
Function and stored procedures prototypes
Passing arguments to functions and stored procedures
Recompiling functions and stored procedures
Pinning packages in the SGA with dbms_shared_pool.keep
Package forward declaration
Package dependency
Package overloading
Listing package information

Bulking in PL/SQL

Bulk queries
Bulk DML (forall statement)
Using cursor attributes
Analyzing impact of bulk operations