Course Overview
This Oracle Database 12c: SQL II—Intermediate course builds upon the prerequisite introductory volume from the Oracle Database 12c: SQL Expert Series and considers intermediate-level SQL topics such as writing database queries using the SQL-99 syntax and exploiting the power of built-in functions that extend the capabilities of SQL.
You will learn how to complete an application schema definition by creating database objects such as relational views, sequences, synonyms, indexes, and others to complement the table definitions. The crucial topic of data integrity and how this is protected using declarative constraints is covered.
This course will also leave the idyllic realm of the learning environment and begin to explore such practical real-world considerations as database object security and database performance.
This course considers subjects applicable to certification as an Oracle Database Certified SQL Expert. The topics considered are included within ‘Exam 1Z0-047: Oracle Database: SQL Certified Expert.’ One must also complete the related volumes from the Sideris Oracle Database 12c: SQL Expert Series entitled Oracle Database 12c: SQL I – Introduction and Oracle Database 12c: SQL III – Advanced to prepare for this certification.
What you’ll learn
- 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 for one 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 and time zones and to address other realistic date and time challenges.
- Finally, attention is given to how one completes an application schema by creating database objects to complement table definitions. One cannot implement a production database application simply with table and column definitions but needs to create and manage views, indexes, constraints, and other object types.
Requirements
- DBOR-950 Oracle Database 12c: SQL I - Introduction
Target audiences
- Business and non-IT professionals
- Application designers and developers
- Business Intelligence (BI) analysts and consumers
- Database administrators
- Web server administrators
Curriculum
- 1 Section
- 15 Lessons
- 3 Days
- Topics15
- 1.1Understanding The Data Models The Company Data Model The Electronics Data Model
- 1.2About The SQL-99 Standard SQL-92 & SQL-99 Cross Joins Natural Joins Inner Joins Implicit Inner Join Outer Joins Anti Joins Named Sub-Queries
- 1.3Enhancing Groups With ROLLUP & CUBE Using ROLLUP The GROUPING() Function Using CUBE
- 1.4Using The CASE Expression 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
- 1.5Sql 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
- 1.6Sql 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
- 1.7Database Objects: About Database Objects About Database Objects About Schemas Making Object References
- 1.8Database 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
- 1.9Database Objects: Indexes About Indexes CREATE & DROP INDEX Statements Indexes & Performance Data Dictionary Storage
- 1.10Database Objects: Creating Other Objects 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
- 1.11Database Objects: Object Management Using DDL The RENAME Statement TABLESPACE Placement CREATE TABLE … TABLESPACE The COMMENT Statement The TRUNCATE TABLE Statement
- 1.12Database Objects: Security About Object Security Grant Object Privileges Revoke Object Privileges Object Privileges & SQL Developer
- 1.13Data 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
- 1.14Managing Constraint Definitions Renaming & Dropping Constraints Enabling & Disabling Constraints Deferred Constraint Enforcement Set Constraints Handling Constraint Exceptions Constraints With Views Data Dictionary Storage
- 1.15The Data Dictionary Structure More About The Data Dictionary Object-Specific Dictionary Views USER_UPDATABLE_COLUMNS The Dictionary Structure Metadata & SQL Developer
Instructor
