Learn SQL in 12 classes - Oracle or MS or MySQL
ID: 69903

Learn SQL in 12 classes - Oracle or MS or MySQL

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Learn SQL In 12 Classes - Oracle Or MS Or MySQL


SQL Fundamentals

Duration: 24 hrs


  • Data Warehouse Administrator
  • Forms Developer
  • System Analysts
  • Business Analysts
  • Developer
  • Application Developers
  • PL/SQL Developer

Suggested Prerequisites:

  • None


  • Course Objectives, Course      Agenda and Appendixes Used in this Course
  • Overview of Oracle Database 12c      and Related Products
  • Overview of relational database      management concepts and terminologies
  • Introduction to SQL and its      development environments
  • What is Oracle SQL Developer?
  • Starting SQL*Plus from Oracle      SQL Developer
  • The Human Resource (HR) Schema
  • Tables used in the Course

Retrieving Data using the SQL SELECT Statement

  • Capabilities of the SELECT      statement
  • Arithmetic expressions and NULL      values in the SELECT statement
  • Column aliases
  • Use of concatenation operator,      literal character strings, alternative quote operator, and the DISTINCT keyword
  • Use of the DESCRIBE command

Restricting and Sorting Data

  • Limiting the Rows
  • Rules of precedence for      operators in an expression
  • Substitution Variables
  • Using the DEFINE and VERIFY      command

Using Single-Row Functions to Customize Output

  • Describe the differences      between single row and multiple row functions
  • Manipulate strings with      character function in the SELECT and WHERE clauses
  • Manipulate numbers with the      ROUND, TRUNC and MOD functions
  • Perform arithmetic with date      data
  • Manipulate dates with the date functions

Using Conversion Functions and Conditional Expressions

  • Describe implicit and explicit      data type conversion
  • Use the TO_CHAR, TO_NUMBER, and      TO_DATE conversion functions
  • Nest multiple functions
  • Apply the NVL, NULLIF, and      COALESCE functions to data
  • Use conditional IF THEN ELSE      logic in a SELECT statement

Reporting Aggregated Data Using the Group Functions

  • Group Functions
  • Creating Groups of Data
  • Restricting Group Results

Displaying Data from Multiple Tables Using Joins

  • Introduction to JOINS
  • Types of Joins
  • Natural join
  • Self-join
  • Non equijoins
  • OUTER join

Using Subqueries to Solve Queries

  • Introduction to Subqueries
  • Single Row Subqueries
  • Multiple Row Subqueries

Using the SET Operators

  • Set Operators
  • UNION and UNION ALL operator
  • INTERSECT operator
  • MINUS operator
  • Matching the SELECT statements
  • Using ORDER BY clause in set      operations

Managing Tables using DML statements

  • Data Manipulation Language
  • Database Transactions

Introduction to Data Definition Language

  • Data Definition Language

Introduction to Data Dictionary Views

  • Introduction to Data Dictionary
  • Describe the Data Dictionary      Structure
  • Using the Data Dictionary views
  • Querying the Data Dictionary      Views

Creating Sequences, Synonyms, Indexes

  • Overview of sequences
  • Overview of synonyms
  • Overview of indexes

Creating Views

  • Overview of views

Managing Schema Objects

  • Managing constraints
  • Creating and using temporary      tables
  • Creating and using external      tables

Retrieving Data by Using Subqueries

  • Retrieving Data by Using a      Subquery as Source
  • Working with Multiple-Column      subqueries
  • Using Scalar subqueries in SQL
  • Correlated Subqueries
  • Working with the WITH clause

Manipulating Data by Using Subqueries

  • Using Subqueries to Manipulate      Data
  • Inserting by Using a Subquery      as a Target 
  • Using the WITH CHECK OPTION      Keyword on DML Statements
  • Using Correlated Subqueries to      Update and Delete rows

Controlling User Access

  • System privileges
  • Creating a role
  • Object privileges
  • Revoking object privileges

Manipulating Data

  • Overview of the Explicit      Default Feature
  • Using multitable INSERTs
  • Using the MERGE statement
  • Performing flashback operations
  • Tracking Changes in Data

Managing Data in Different Time Zones

  • Working with INTERVAL data      types
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