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Oracle Training In Nagpur

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Oracle

Syllabus​

Oracle Course Overview

Oracle is one of the biggest database technology assets in the world. NareshIT provides enough knowledge on Oracle by highly experienced and real-time professionals and also various prestigious and worthy Oracle Certification courses in India at different metro locations for students, freshers, employees and professionals who want to lead the IT industry. You can register for Oracle Training and opt from a wide range of Oracle Training Courses at Naresh i Technologies in India.

Oracle Training Course Prerequisites

  • Computer Fundamentals, Windows Operating System
  • Basic knowledge of database can be much more useful

Oracle Training Course Objectives

  • Create Database tables.
  • Manage Database objects.
  • Access and manipulate data in the Database using SQL statements.
  • Control user access to data.
  • Data Managing
  • Working with Databases

Oracle Training Course Duration

  • Normal Track: 60 Working days, daily 1.30 Hours
  • Fast Track: 45 Working days, daily 2.00 Hour

Oracle Training Content

Introduction to DBMS

  • Approach to Data Management
  • Introduction to prerequisites
  • File and Filesystem
  • Disadvantages of file
  • Review of Database Management Terminology
  • Database Models
    • Hierarchal Model
    • Network Model
    • Relational Model 

Introduction to RDBMS

  • Feature of RDBMS
  • Advantages of RDBMS over FMS ad DBMS
  • The 12 rules (E.F Codd’s Rules –RDBMS)
  • Need for Database Design
  • Support of Normalization Process for Data Management
  • Client-Server Technology
  • Oracle Corporation Products
  • Oracle Versions
  • About SQL&SQL*PLUS

Sub Language Commands

  • Data Definition Language  (DDL)
  • Data Retrieval Language (DRL)
  • Data Manipulation Language (DML)
  • Transaction Control Language (TCL)
  • Database Security and Privileges (DCL) 

Introduction to SQL Database Object

  • Oracle Pre Defined Datatypes
  • DDL Commands
  • Create, Alter (add, modify, rename, drop)Columns, Rename, truncate, drop
  • DML-Insert, update, delete
  • DQL-SELECT Statements using WHEREclause
  • Comparison and Conditional Operators
  • Arithmetic and Logical Operators
  • Set Operators (UNION, UNION ALL, INTERSECT, MINUS)
  • Special Operators – IN (NOT IN), BETWEEN (NOT BETWEEN), LIKE (NOT LIKE), IS NULL (IS NOT NULL)
  • Working with DML, DRL Commands
  • Operators Support 

Built-in Functions

  • Arithmetic Functions, Character Functions, Date Functions, Conversion Functions
  • Aggregate Functions, OLAP Functions & General Functions 

Grouping the Result of a Query

  • Using Group by and Having Clause of DRL Statement
  • Using Order by clause 

Working with Integrity Constraints

  • Importance of Data Integrity
  • Support of Integrity Constraints for Relating Table in RDBMS
    • NOT NULL constraint
    • UNIQUE constraint
    • PRIMARY KEY constraint
    • FOREIGN KEY constraint
    • CHECK constraint
  • Working with different types of Integrity Constraints 

REF constraint

  • Understanding ON DELETE clause in referential integrity constraint
  • Working with a composite constraint
  • Applying DEFAULT option to columns
  • Working with multiple constraints upon a column
  • Adding constraints to a table
  • Dropping of constraints
  • Enabling / Disable constraints
  • Querying for constraints information 

Querying Multiple Tables (Joins)

  • Equi Join/Inner Join/Simple Join
  • Cartesian Join
  • Non-Equi Join
  • Outer Joins
  • Self Join

Working with Sub Queries

  • Understanding the practical approach to Sub Queries/Nested Select/Sub Select/Inner Select/Outer Select
  • What is the purpose of a Sub Query?
  • Sub Query Principle and Usage
  • Type of Sub Queries
  • Single Row
  • Multiple Row
  • Multiple Column
  • Applying Group Functions in Sub Queries
  • The impact of Having Clause in Sub Queries
  • IN, ANY/SOME, ALL Operators in Sub Queries
  • PAIRWISE and NON PAIRWISE Comparison in Sub Queries
  • Be … Aware of NULL’s
  • Correlated Sub Queries
  • Handling Data Retrieval with EXISTS and NOT EXISTS Operators 

Working with DCL, TCL Commands

  • Grant, Revoke
  • Commit, Rollback, Savepoint
  • SQL Editor Commands
  • SQL Environment settings 

Maintaining Database Objects

VIEWS in Oracle

  • Understanding the Standards of VIEWS in Oracle
  • Types of VIEWS
  • Relational Views
  • Object Views
  • Prerequisites to work with views
  • Practical approach of SIMPLE VIEWS and COMPLEX VIEWS
  • Column definitions in VIEWS
  • Using VIEWS for DML Operations
  • In-Line View
  • Forced Views
  • Putting CHECK Constraint upon VIEWS
  • Creation of READ ONLY VIEWS
  • Understanding the IN LINE VIEWS
  • About Materialized Views
  • View Triggers

Working with Sequences

Working with Synonyms 

Working with Index and Clusters

Creating Cluster Tables, Implementing Locks, working with roles

Pseudo Columns in Oracle

  • Understanding Pseudo Columns in Oracle
  • Types of Pseudo Columns in Oracle
  • CURRVAL and NEXTVAL
  • LEVEL
  • ROWID
  • ROWNUM 

Data Partitions and Parallel Process

  • Types of Partitions
  • Range Partitions
  • Hash Partitions
  • List Partition
  • Composite Partition
  • Parallel Query Process

Locks

  • Row level Locks
  • Table Level Locks
  • Shared Lock
  • Exclusive Lock
  • Dead Lock

SQL * Loader

  • SQL * Loader Architecture
  • Data file (Input Datafiles)
  • Control file
  • Bad file
  • Discard file
  • Log file
  • .txt to base table
  • .csv to base table
  • From more than one file to single table 

PL-SQL (Procedure Language – SQL)

  • Introduction to Programming Languages
  • Introduction to PL/SQL
  • The Advantages of PL/SQL
  • PL/SQL Architecture
  • PL/SQL Datatypes
  • Variable and Constants
  • Using Built_in Functions
  • Conditional and Unconditional Statements
  • Simple if, if… else, nested if..else, if..else Ladder
  • Selection Case, Simple Case, GOTO Label   and EXIT
  • Iterations in PL/SQL
    • Simple LOOP, WHILE LOOP, FOR LOOP   and NESTED LOOPS
    • SQL within PL/SQL
    • Composite Data types (Complete)
    • Cursor Management in PL/SQL
    • Implicit Cursors
    • Explicit Cursors
    • Cursor Attributes
    • Cursor with Parameters
    • Cursors with LOOPs Nested Cursors
    • Cursors with Sub Queries
    • Ref. Cursors
      • Record and PL/SQL Table Types 

Advanced PL/SQL

  • Procedures in PL/SQL
  • STORED PROCEDURES
  • PROCEDURE with Parameters (IN,OUT  and IN OUT)
  • POSITIONAL Notation and NAMED Notation
  • Procedure with Cursors
  • Dropping a Procedure

    • Functions in PL/SQL

    • Difference between Procedures and Functions
    • User Defined Functions
    • Nested Functions
    • Using stored function in SQL statements
      • Packages in PL/SQL
      • Creating PACKAGE Specification and  PACKAGE Body
      • Private and Public Objects in PACKAGE

EXCEPTIONS in PL/SQL

Types of exceptions 

  • User-Defined Exceptions
  • Pre Defined Exceptions
  • RAISE_APPLICATION_ERROR
  • PRAGMA_AUTONOMOUS_TRANSACTION
  • SQL Error Code Values

Database Triggers in PL/SQL

  • Types of Triggers
  • Row Level Triggers
  • Statement Level Triggers
  • DDL Triggers
  • Trigger Auditing

File Input/Output

  • PL/SQL file I/O (Input/Output)
  • Using UTL_FILE Package

Implementing Object Technology

  • What is Object Technology ?
  • OOPS-Object Instances
  • Creation of objects
  • Creating User-Defined Data Types
  • Creating Object Tables
  • Inserting rows in a table using Objects
  • Retrieving data from Object-based Tables
  • Calling a Method
  • Indexing Abstract Data type Attributes

Using LOBS

  • Large Objects (LOBS)
  • Creating Tables-LOB
  • Working with LOB values
  • Inserting, Updating & Deleting Values in LOBs
  • Populating Lobis DBMS_LOB Routines
  • Using B-FILE

Using Collections

  • Advantages of collection
  • Ref cursor (Dynamic Cursor)
  • Weak ref cursor
  • Strong ref cursor
  • Nested Tables VARRAYS or VARYING arrays
  • Creating tables using nested tables
  • Inserting, updating & deleting Nested
  • Table records
  • Nested table in PL/SQL

Oracle Database Architecture

  • Introduction to Oracle Database Architecture
  • Physical structures Logical structures
  • DB Memory Structures Background Process
  • 2 Tire, 3 Tire, N-Tier Architecture

Advanced Features

  • 9i Joines
  • New Date function
  • Rename column
  • Inner Join/Natural Join
  • Left Outer Join/Right Outer Join
  • Full Outer Join
  • Multiple Inserts
  • Insert All Command
  • Merge statement
  • NVL2(), NULLIF(), COALESCE()
  • CASE expression of Select Command
  • Temporary Tables/Global Tables
  • New Function EXTRACT()
  • Autonomous Traction
  • Pragma _ Autonomous_ Transaction()
  • Bulk Collect
  • About Flash Back Queries
  • Dynamic SQL
  • New data types, Flash back Command
  • Purge Command, Recyclebin
  • Regular expressions, DML Error Logging
  • Data Pump, Virtual Columns
  • Read only tables, Cross tab Views using
  • Pivot/Unpivot operators, Follows Clause
  • Compound triggers, New data types

DBA CONCEPTS

  • Database
  • Tablespace
  • Types of Tablespaces
  • Data files /Se

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