Oracle Database SQL

The Oracle Database SQL Certified Associate demonstrates an understanding of fundamental SQL concepts needed to undertake any database project. Passing the exam illustrates depth of knowledge of SQL and its use when working with the Oracle Database server. Gain a working knowledge of queries , insert, update and delete SQL statements as well as some Data Definition language and Data Control Language, the optimizer, tales and indexes, data modeling and normalization. By passing this exam, a certified individual proves fluency in and a solid understanding of SQL language, data modeling and using SQL to create amd manipulate tables in an Oracle Database. Qualified candidates have knowledge of general computing concepts, knowledge of command line interfaces and experience working in command line.

Course Objectives

Oracle and Structured Query Language (SQL)

• The Exam: An Overview
• Identify the Connection Between an ERD and a Relational Database
• Explain the Relationship Between a Database and SQL
• Describe the Purpose of DDL
• Describe the Purpose of DML
• Build a SELECT Statement to Retrieve Data from an Oracle Database Table
• Certification Summary
• Two-Minute Drill

Using DDL Statements to Create and Manage Tables

• Categorize the Main Database Objects
• Create a Simple Table
• Review the Table Structure
• List the Data Types That Are Available for Columns
• Explain How Constraints Are Created at the Time of Table Creation
• Drop Columns and Set Column UNUSED
• Create and Use External Tables
• Certification Summary
• Two-Minute Drill

Manipulating Data

• Truncate Data
• Insert Rows into a Table
• Update Rows in a Table
• Delete Rows from a Table
• Control Transactions
• Certification Summary
• Two-Minute Drill

Restricting and Sorting Data

• Sort the Rows That Are Retrieved by a Query
• Limit the Rows That Are Retrieved by a Query
• Use Ampersand Substitution to Restrict and Sort Output at Run Time
• Use the SQL Row Limiting Clause
• Certification Summary
• Two-Minute Drill

Using Single-Row Functions to Customize Output

• Use Various Types of Functions That Are Available in SQL
• Use Character, Number, Date, and Analytical (PER...TDDEV, LAG, LEAD) Functions in SELECT Statements
• Certification Summary
• Two-Minute Drill

Using Conversion Functions and Conditional Expressions

• Describe Various Types of Conversion Functions
• Use the TO_CHAR, TO_NUMBER, and TO_DATE Conversion Functions
• Apply General Functions and Conditional Expressions in a SELECT Statement
• Certification Summary
• Two-Minute Drill

Reporting Aggregated Data Using the Group Functions

• Describe the Use of Group Functions
• Group Data by Using the GROUP BY Clause
• Include or Exclude Grouped Rows by Using the HAVING Clause
• Certification Summary
• Two-Minute Drill

Displaying Data from Multiple Tables

• Describe the Different Types of Joins and Their Features
• Use SELECT Statements to Access Data from More Than One Table Using Equijoins and Non-Equijoins
• Join a Table to Itself by Using a Self-Join
• View Data That Generally Does Not Meet a Join Condition by Using Outer Joins
• Certification Summary
• Two-Minute Drill

Using Subqueries to Solve Queries

• Define Subqueries
• Describe the Types of Problems Subqueries Can Solve
• Describe the Types of Subqueries
• Query Data Using Correlated Subqueries
• Update and Delete Rows Using Correlated Subqueries
• Use the EXISTS and NOT EXISTS Operators
• Use the WITH Clause
• Write Single-Row and Multiple-Row Subqueries
• Certification Summary
• Two-Minute Drill

Managing Schema Objects

• Describe How Schema Objects Work
• Create Simple and Complex Views with Visible/Invisible Columns
• Create, Maintain, and Use Sequences
• Create and Maintain Indexes Including Invisible Indexes and Multiple Indexes on the Same Columns
• Perform Flashback Operations
• Certification Summary
• Two-Minute Drill

Using the Set Operators

• Describe Set Operators
• Use a Set Operator to Combine Multiple Queries into a Single Query
• Control the Order of Rows Returned
• Certification Summary
• Two-Minute Drill

Managing Objects with Data Dictionary Views

• Query Various Data Dictionary Views
• Certification Summary
• Two-Minute Drill

Manipulating Large Data Sets

• Describe the Features of Multitable INSERTs
• Merge Rows into a Table
• Certification Summary
• Two-Minute Drill

Controlling User Access

• Differentiate System Privileges from Object Privileges
• Grant Privileges on Tables and on a User
• Distinguish Between Privileges and Roles
• Certification Summary
• Two-Minute Drill

Target Audience:

Oracle Database SQL is tailored for a diverse audience encompassing Database Administrators responsible for the management and optimization of Oracle databases, Database Developers tasked with designing and implementing database solutions, and Application Developers creating software that interacts with Oracle databases. Additionally, Data Analysts and Scientists rely on SQL for data extraction and analysis, while Business Analysts use it to make informed decisions. IT Professionals and System Analysts may need to interact with databases for various purposes, including generating reports or performing data migrations. Students, technical consultants, and trainers focusing on Oracle technologies also find value in Oracle Database SQL, and it serves as an excellent foundation for anyone interested in comprehending database management and SQL concepts, even across different database systems.

Benefits and Beyond:

The knowledge of Oracle Database SQL benefits a wide range of professionals and learners. This includes Database Administrators responsible for Oracle database management, Database Developers creating and maintaining database solutions, and Application Developers working with Oracle databases. Data Analysts and Scientists utilize SQL for data extraction and analysis, while Business Analysts use it for informed decision-making. IT Professionals and System Analysts may employ SQL for tasks like report generation and data migration. Students, technical consultants, and trainers focused on Oracle technologies also benefit, as do anyone interested in understanding database management and SQL concepts, even in the context of different database systems.