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Oracle SQL Fundamentals

0800 1337 401

Overview

The Oracle SQL Fundamentals course is designed to give delegates practical experience in writing Oracle SQL statements and scripts. A wide range of SQL functions and data manipulation statements are introduced.

Prerequisites

There are no formal pre-requisites for the Oracle SQL Fundamentals course, although an understanding of databases and exposure to information technology in general would be useful.

Objectives

To provide the skills needed to query and update data held in an Oracle Relational Database.

Outline

Course Contents - DAY 1

Course Introduction

  • Administration and Course Materials
  • Course Structure and Agenda
  • Delegate and Trainer Introductions

Session 1: RELATIONAL DATABASE CONCEPTS

  • What is an Oracle Database
  • Relational Database Structures
  • Tables, Rows and Columns
  • Indexes, Primary Keys and Foreign Keys
  • Supported Datatypes
  • The Data Dictionary

Session 2: USING SQL*PLUS

  • What is SQL*Plus
  • Getting Started
  • Entering and Executing SQL Statements
  • Editing SQL Statements
  • Creating, Editing and Executing SQL Files

Session 3: USING SQL DEVELOPER

  • What is Oracle SQL Developer
  • Starting SQL Developer
  • Configure a Connection
  • Navigation Tabs
  • SQL Worksheet
  • Query Builder

Session 4: RETRIEVING DATA WITH THE SELECT STATEMENT

  • The SELECT Statement
  • The SELECT and FROM Clauses
  • Conditions and the WHERE Clause
  • Other Conditional Operators
  • Logical Operators
  • The ORDER BY Clause
  • Column Aliases
  • Arithmetic Expressions
  • Precedence of Operators

Session 5: AGGREGATE FUNCTIONS

  • Overview of Built In Aggregate Functions
  • The GROUP BY Clause
  • The HAVING Clause

Course Contents - DAY 2

Session 6: JOINING TABLES

  • Overview of Table Joins
  • Inner Joins
  • Table Aliases
  • Outer Joins
  • Self Joins
  • ANSI Standard Joins

Session 7: NUMERIC, CHARACTER AND DATE FUNCTIONS

  • Function Types
  • Using the Table dual to try out Functions
  • Numeric Functions
  • Character Functions
  • String Concatenation
  • Date Arithmetic and Date Functions

Session 8: CONVERSION AND MISCELLANEOUS FUNCTIONS

  • Conversion Functions
  • The NVL and NVL2 Functions
  • The DECODE Function
  • CASE Expressions
  • The COALESCE and NULLIF Functions

Session 9: SQL PARAMETERS

  • Command Line Substitution Parameters
  • The Accept Command
  • The Define and Undefine Commands

Session 10: USING SUBQUERIES

  • Overview of Subqueries
  • In-Line Views
  • Top-N Queries
  • Complex Subqueries
  • Multi Column Subqueries
  • Correlated Subqueries
  • Subquery Rules
  • Using the ANY, ALL and SOME Operators

Course Contents - DAY 3

Session 11: MANAGING DATA

  • Inserting Rows
  • Updating Rows
  • Deleting Rows
  • Verifying Updates
  • Transaction Control
  • Commit and Rollback
  • Savepoints
  • Commits and Constraints
  • Amending Data in SQL Developer

Session 12: MANAGING TABLES

  • Creating Tables
  • Specifying Constraints
  • Altering Tables, Columns and Constraints
  • Dropping Tables, Columns and Constraints
  • Copying Tables

Session 13: MANAGING INDEXES AND VIEWS

  • Creating Indexes
  • Dropping Indexes
  • Listing Indexes
  • Creating and Using Views
  • Dropping Views
  • Listing Views

Session 14: MANAGING SEQUENCES AND SYNONYMS

  • Create a Sequence
  • View Sequence Details
  • Create a Synonym
  • List Synonyms

Course Contents - DAY 4

Session 15: RETRIEVE DATA USING SUBQUERIES

  • ANY, ALL or SOME Operators
  • Correlated Subqueries
  • In-Line Views
  • The Exists Operator
  • The WITH Clause
  • Multi-Column Subqueries
  • Insert and Update Using a Query
  • Correlated Update and Delete

Session 16: HIERARCHICAL QUERIES

  • Hierarchical data
  • The START WITH and CONNECT BY clauses
  • The LEVEL pseudo-column
  • Sequencing the output
  • Eliminating nodes and branches

Session 17: ENHANCED GROUPING FEATURES

  • Review of basic grouping concepts
  • The ROLLUP and CUBE extensions
  • The GROUPING SETS extension
  • Using the GROUPING and GROUPING_ID functions

Session 18: MANAGE LARGE DATA SETS

  • Multi-table Inserts
  • Conditional and Unconditional Inserts
  • Merging Data into a Table
  • Table and View Based Merge
  • A Sub Query Based Merge

Session 19: FLASHBACK TECHNOLOGY

  • Flashback Query
  • The AS Clause
  • Flashback Table
  • Flashback Drop

Course Contents - DAY 5

Session 20: DATE, TIME AND TIMEZONE SUPPORT

  • Date, Timestamp and Interval datatypes
  • Handling dates and times
  • Handling intervals
  • Date, timestamp and interval functions and literals
  • Related NLS parameters

Session 21: REGULAR EXPRESSION SUPPORT

  • Regular Expression Notation
  • Character matching
  • Repetition operators
  • Sub expression grouping
  • Regular expression functions

Session 22: MANAGE OBJECTS WITH THE DATA DICTIONARY

  • The Data Dictionary
  • Useful Data Dictionary Tables
  • Using the Data Dictionary

Session 23: MANAGE SCHEMA OBJECTS

  • Column Operations
  • Constraint Operations
  • Creating and Dropping Indexes
  • B-Tree Indexes
  • Function Based Indexes
  • Descending Indexes
  • Creating and Using External Tables

Session 24: ACCESS CONTROL

  • System Privileges and Roles
  • Create Users
  • Alter User Details
  • Grant and Revoke Object Privileges
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