Professional Training

Prerequisites

The audience for this course is all Oracle professionals, both business and systems professionals. Among the specific groups for whom this course will be helpful are:

• Business and non-IT professionals
• Application designers and developers
• Business Intelligence (BI) analysts and consumers
• Database administrators
• Web server administrators

Objectives

This course demonstrates how one can build intermediate-level and even advanced queries using the SQL-99 join syntax, along with other advanced query topics. It also considers both ANSI/ISO and native Oracle SQL built-in functions and the tremendous power that functions offer to SQL operations. It is difficult to use SQL within a production environment without liberal use of the built-in functions. Among many other tasks, the built-in functions allow one to move beyond the use of primitive date data types and values to include timestamps, time zones and to address other realistic date and time challenges. Finally attention is given to how you complete an application schema by creating database objects to compliment table definitions. One cannot implement a production database application simply with table and column definitions but need to create and manage views, indexes, constraints and other object types.

UNDERSTANDING THE DATA MODEL

• THE COMPANY DATA MODEL
• THE ELECTRONICS DATA MODEL

ABOUT THE SQL-99 STANDARD

SQL-­‐92 & SQL-­‐99
• CROSS JOINS
• NATURAL JOINS
• INNER JOINS
• Implicit INNER JOIN
• OUTER JOINS
• ANTI JOINS
• NAMED SUB-­‐QUERIES

ENHANCING GROUPS WITH ROLLUP & CUBE

• USING ROLLUP
• The GROUPING() Function
• USING CUBE

SQL FUNCTIONS: CHARACTER HANDLING

• WHAT ARE THE SQL FUNCTIONS?
• STRING FORMATTING FUNCTIONS
• UPPER(), LOWER() Example
• INITCAP() Example
• CHARACTER CODES FUNCTIONS
• CHR(), ASCII() Examples
• PAD & TRIM FUNCTIONS
• RPAD() Example
• RTRIM() Example
• TRIM() Example
• STRING MANIPULATION FUNCTIONS
• DECODE() Example
• SUBSTR() Example
• INSTR() Example
• TRANSLATE() Example
• REPLACE() Example
• STRING COMPARISON FUNCTIONS
• LEAST() Example
• PHONETIC SEARCH FUNCTION
• SOUNDEX() Example

SQL FUNCTIONS: NUMERIC HANDLING

• ABOUT THE NUMERIC DATA FUNCTIONS
• GREATEST() Example
• ABS() Example
• ROUND() Example
• TRUNC() Example
• SIGN() Example
• TO_NUMBER() Example & Data Type Conversions
• NULL VALUES FUNCTIONS
• NVL() & NVL2() Function
• NVL() Example (Character)
• NVL() Example (Numeric Loss Of Data)
• NVL() Example (Numeric Output)
• NVL2() Example
• COALESCE() Function
• NULLIF() Function

SQL FUNCTIONS: DATE HANDLING

• DATE FORMATTING FUNCTIONS
• TO_CHAR() & TO_DATE() Format Patterns
• TO_CHAR() Examples
• TO_DATE() Examples
• EXTRACT() Example
• DATE ARITHMETIC FUNCTIONS
• MONTHS_BETWEEN() Example
• ADD_MONTHS() Example
• LAST_DAY() Example
• NEXT_DAY() Example
• TRUNC(), ROUND() Dates Example
• NEW_TIME() Example
• About V$TIMEZONE_NAMES
• CAST() FUNCTION & TIME ZONES

DATABASE OBJECTS: ABOUT DATABASE OBJECTS

• ABOUT DATABASE OBJECTS
• ABOUT SCHEMAS
• MAKING OBJECT REFERENCES

DATABASE OBJECTS: RELATIONAL VIEWS

• ABOUT RELATIONAL VIEWS
• THE CREATE VIEW STATEMENT
• WHY USE VIEWS?
• ACCESSING VIEWS WITH DML
• MAINTAINING VIEW DEFINITIONS
• ALTER VIEW
• DROP VIEW
• DDL Using SQL Developer

DATABASE OBJECTS: INDEXES

• ABOUT INDEXES
• CREATE & DROP INDEX STATEMENTS
• INDEXES & PERFORMANCE
• DATA DICTIONARY STORAGE DATABASE

DATABASE OBJECTS: CREATING OTHER OBJECTIVES

• ABOUT SEQUENCES
• Referencing NEXTVAL
• Referencing CURRVAL
• Within The DEFAULT Clause
• ALTER SEQUENCE & DROP SEQUENCE
• ALTER SEQUENCE
• DROP SEQUENCE
• ABOUT IDENTITY COLUMNS
• CREATE TABLE ... GENERATED AS IDENTITY
• ALTER TABLE ... GENERATED AS IDENTITY
• START WITH LIMIT VALUE
• ALTER TABLE ... DROP IDENTITY
• ABOUT SYNONYMS
• CREATE & DROP SYNONYM Statements
• CREATE SYNONYM
• DROP SYNONYM
• Public Vs. Private Synonyms
• CREATE SCHEMA AUTHORIZATION

DATABASE OBJECTS: OBJECT MANAGEMENT USING DDL

• THE RENAME STATEMENT
• TABLESPACE PLACEMENT
• CREATE TABLE ... TABLESPACE
• THE COMMENT STATEMENT
• THE TRUNCATE TABLE STATEMENT

DATABASE OBJECTS: SECURITY

• ABOUT OBJECT SECURITY
• GRANT OBJECT PRIVILEGES
• REVOKE OBJECT PRIVILEGES
• OBJECT PRIVILEGES & SQL DEVELOPER

DATA INTEGRITY USING CONSTRAINTS

• ABOUT CONSTRAINTS
• NOT NULL CONSTRAINT
• NOT NULL Example
• CHECK CONSTRAINT
• UNIQUE CONSTRAINT
• PRIMARY KEY CONSTRAINT
• REFERENCES CONSTRAINT
• ON DELETE CASCADE Example
• ON DELETE SET NULL Example
• CONSTRAINTS ON EXISTING TABLES
• CONSTRAINTS & SQL DEVELOPER

MANAGING CONSTRAINT DEFINITIONS

• RENAMING & DROPPING CONSTRAINTS
• ENABLING & DISABLING CONSTRAINTS
• DEFERRED CONSTRAINT ENFORCEMENT
• SET CONSTRAINTS
• HANDLING CONSTRAINT EXCEPTIONS
• CONSTRAINTS WITH VIEWS
• DATA DICTIONARY STORAGE

THE DATA DICTIONARY STRUCTURE

• MORE ABOUT THE DATA DICTIONARY
• OBJECT-­‐SPECIFIC DICTIONARY VIEWS
• USER_UPDATABLE_COLUMNS
• THE DICTIONARY STRUCTURE
• METADATA & SQL DEVELOPER