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Oracle 18c SQL
Oracle Training Overview

This course provides a complete, hands-on introduction to SQL including the use of both SQL Developer and SQL*Plus. This coverage is appropriate for users of Oracle 11g and higher. A full presentation of the basics of relational databases and their use are also covered.

Oracle Training Audience

This course is appropriate for anyone needing to interface with an Oracle database or those needing a general understanding of Oracle database functionality. That would include end users, business analysts, application developers and database administrators.

Oracle Training Prerequisites

Basic computer skills are needed. A basic knowledge of databases is desired but not required.

Course duration

3 Days

Oracle Training Course outline

CHAPTER 1 – BASIC RDBMS PRINCIPLES

RELATIONAL DESIGN PRINCIPLES

ACCESSING DATA THROUGH A STRUCTURED QUERY LANGUAGE              

ENTITY RELATIONSHIP DIAGRAMS

DATA DOMAINS

NULL VALUES

INDEXES

VIEWS

DENORMALIZATION

DATA MODEL REVIEW

LAB 1:  BASIC RDBMS PRINCIPLES

LAB 1 SOLUTIONS:  BASIC RDBMS PRINCIPLES

CHAPTER 2 – THE SQL LANGUAGE AND TOOLS

USING SQL*PLUS

  • Why Use SQL*Plus When Other Tools Are Available?
  • Starting SQL*Plus
  • EZConnect
  • SQL Commands
  • PL/SQL Commands
  • SQL*Plus Commands

The COLUMN Command

  • The HEADING Clause
  • The FORMAT Clause
  • The NOPRINT Clause
  • The NULL Clause
  • TheCLEAR Clause

PREDEFINED DEFINE VARIABLES

LOGIN.SQL

WE HAVE HISTORY!

PERFORMANCE SETTINGS

CSV OPTION FOR MARKUP

FEEDBACK ONLY

SUPPORT  FOR LONG IDENTIFIERS

COPY AND PASTE IN SQL*PLUS

ENTERING SQL COMMANDS

ENTERING PL/SQL COMMANDS               

ENTERING SQL*PLUS COMMANDS

DEFAULT OUTPUT FROM SQL*PLUS

ENTERING QUERIES

WHAT ABOUT PL/SQL? 

INTRODUCING SQLCL:  THE DEATH OF SQL*PLUS?

  • Installation
  • Editing / Autocomplete
  • SQLFORMAT ANSICONSOLE
  • NEW COMMANDS
    • ALIAS
      • Search
    • APEX
    • BRIDGE
    • CD
    • CTAS
    • DDL
    • FIND
    • FORMAT
    • HISTORY
    • INFORMATION
    • LOAD
    • NET
    • OERR
    • REPEAT
    • REST
    • SODA
    • SSHTUNNEL
    • TNSPING
    • WHICH
  • MISCELLANEOUS

LAB 2: SQL LANGUAGE AND TOOLS

LAB 2 SOLUTIONS:  SQL LANGUAGE AND TOOLS               

CHAPTER 3 – USING SQL DEVELOPER

CHOOSING A SQL DEVELOPER VERSION

CONFIGURING CONNECTIONS 

  • Creating A Basic Connection
  • Creating A TNS Connection
  • Connecting

CONFIGURING PREFERENCES

USING SQL DEVELOPER

  • The Columns Tab
  • The Data Tab
  • The Constraints Tab
  • The Grants Tab
  • The Statistics Tab
  • Other Tabs
  • Queries In SQL Developer
  • Saving Typing
  • Query Builder
  • Modifying Your Query With The Drawer Pullout
  • Accessing Objects Owned By Other Users
  • The Actions Pulldown Menu

DIFFERENCES BETWEEN SQL DEVELOPER AND SQL*PLUS

  • Reporting Commands Missing In SQL Developer
  • General Commands Missing In SQL Developer

SPOOLING IN SQL DEVELOPER

DATA DICTIONARY REPORTS

USER DEFINED REPORTS

USING SCRIPTS IN SQL DEVELOPER

LAB 3:  USING SQL DEVELOPER

LAB 3 SOLUTIONS:  USING SQL DEVELOPER

CHAPTER 4 – SQL QUERY BASICS

UNDERSTANDING THE DATA DICTIONARY

  • Exporting Key Data Dictionary Information
  • An Alternative Approach To A Quick ERD

THE DICTIONARY VIEW 

COMPONENTS OF A SELECT STATEMENT

  • The SELECT Clause
  • The FROM Clause
  • The WHERE Clause
  • The GROUP BY Clause
  • The HAVING Clause
  • The ORDER BY Clause
  • The START WITH And CONNECT BY Clauses
  • The FOR UPDATE Clause
  • Set Operators

COLUMN ALIASES

FULLY QUALIFYING TABLES AND COLUMNS

TABLE ALIASES

A NEAT TRICK

USING DISTINCT AND ALL IN SELECT STATEMENTS

LAB 4:  SQL QUERY BASICS

LAB 4 SOLUTIONS:  SQL QUERY BASICS

CHAPTER 5– WHERE AND ORDER BY

WHERE CLAUSE BASICS

COMPARISON OPERATORS

LITERALS AND CONSTANTS IN SQL

SIMPLE PATTERN MATCHING

LOGICAL OPERATORS

THE DUAL TABLE

ARITHMETIC OPERATORS

EXPRESSIONS IN SQL

CHARACTER OPERATORS

PSEUDO COLUMNS

ORDER BY CLAUSE BASICS

ORDERING NULLS

ACCENT AND CASE INSENSITIVE SORTS

DATA BOUND COLLATION

CASE-INSENSITIVE DATABASE

SAMPLING DATA

WHERE AND ORDER BY IN SQL DEVELOPER

ALL, ANY, SOME

LAB 5:  WHERE AND ORDER BY

LAB 5 SOLUTIONS:  WHERE AND ORDER BY

CHAPTER 6 – FUNCTIONS

THE BASICS OF ORACLE FUNCTIONS

NUMBER FUNCTIONS

CHARACTER FUNCTIONS

DATE FUNCTIONS

CONVERSION FUNCTIONS

OTHER FUNCTIONS

LARGE OBJECT FUNCTIONS

ERROR FUNCTIONS

THE RR FORMAT MODEL

LEVERAGING YOUR KNOWLEDGE

LAB 6:  FUNCTIONS

LAB 6 SOLUTIONS: FUNCTIONS

CHAPTER 7 – ANSI 92 JOINS

BASICS OF ANSI 92 JOINS

USING QUERY BUILDER WITH MULTIPLE TABLES

TABLE ALIASES

OUTER JOINS

  • Outer Joins In Query Builder

SET OPERATORS

SELF-REFERENTIAL JOINS

NON-EQUIJOINS

LAB 7: ANSI 92 JOINS

LAB 7:  SOLUTIONS:  ANSI 92 JOINS

CHAPTER 8 – ANSI 99 JOINS

CHANGES WITH ANSI99

CROSS JOIN

NATURAL JOIN

JOIN USING

JOIN ON

LEFT / RIGHT OUTER JOIN

FULL OUTER JOIN

LAB 8:  ANSI 99 JOINS

LAB8 SOLUTIONS:  ANSI 99 JOINS

CHAPTER 9 – GROUP BY AND HAVING

INTRODUCTION TO GROUP FUNCTIONS              

  • Limiting Rows
  • Including NULL
  • Using DISTINCT With Group Functions

GROUP FUNCTION REQUIREMENTS

THE HAVING CLAUSE

OTHER GROUP FUNCTION RULES

USING QUERY BUILDER WITH GROUP CLAUSES

ROLLUP AND CUBE

THE GROUPING FUNCTION

GROUPING SETS

LAB 9:  GROUP BY AND HAVING

LAB 9 SOLUTIONS:  GROUP BY AND HAVING

CHAPTER 10 – SUBQUERIES               

WHY USE SUBQUERIES?               

WHERE CLAUSE SUBQUERIES

FROM CLAUSE SUBQUERIES

HAVING CLAUSE SUBQUERIES  

CORRELATED SUBQUERIES

SCALAR SUBQUERIES

DML AND SUBQUERIES

EXISTS SUBQUERIES

HIERARCHICAL QUERIES               

TOP N AND BOTTOM N QUERIES

CREATING SUBQUERIES USING QUERY BUILDER

LAB 10:  SUBQUERIES

LAB 10 SOLUTIONS:  SUBQUERIES

CHAPTER 11– REGULAR EXPRESSIONS

AVAILABLE REGULAR EXPRESSION FUNCTIONS

REGULAR EXPRESSION OPERATORS

CHARACTER CLASSES

PATTERN MATCHING OPTIONS

REGEX_LIKE

REGEXP_SUBSTR

REGEXP_INSTR

REGEXP_REPLACE

REGEXP_COUNT

LAB 11:  REGULAR EXPRESSIONS              

LAB 11 SOLUTIONS:  REGULAR EXPRESSIONS

CHAPTER 12 – ANALYTICS

THE WITH CLAUSE

REPORTING AGGREGATE FUNCTIONS

ANALYTICAL FUNCTIONS

USER-DEFINED BUCKET HISTOGRAMS

THE MODEL CLAUSE

PIVOT AND UNPIVOT

TEMPORAL VALIDITY

LAB 12:  ANALYTICS

LAB 12 SOLUTIONS:  ANALYTICS               

CHAPTER 13 – ANALYTICS II

RANKING FUNCTIONS

RANK

DENSE_RANK

CUME_DIST

PERCENT_RANK              

ROW_NUMBER               

WINDOWING AGGREGATE FUNCTIONS

RATIO_TO_REPORT

LAG / LEAD

LINEAR REGRESSION FUNCTIONS

INVERSE PERCENTILE FUNCTIONS

HYPOTHETICAL RANKING FUNCTIONS

PATTERN MATCHING


 
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