Oracle Database SQL Certified Associate
1 Introduction to SQL
1-1 Overview of SQL
1-2 History of SQL
1-3 SQL Standards
2 SQL Data Types
2-1 Numeric Data Types
2-2 Character Data Types
2-3 Date and Time Data Types
2-4 Large Object (LOB) Data Types
2-5 Miscellaneous Data Types
3 Creating and Managing Tables
3-1 Creating Tables
3-2 Modifying Tables
3-3 Dropping Tables
3-4 Table Constraints
3-5 Temporary Tables
4 Data Manipulation Language (DML)
4-1 Inserting Data
4-2 Updating Data
4-3 Deleting Data
4-4 Selecting Data
4-5 Using Subqueries
5 Data Control Language (DCL)
5-1 Granting Privileges
5-2 Revoking Privileges
6 Data Definition Language (DDL)
6-1 Creating Tables
6-2 Altering Tables
6-3 Dropping Tables
6-4 Creating Indexes
6-5 Dropping Indexes
6-6 Creating Views
6-7 Dropping Views
7 SQL Functions
7-1 Single-Row Functions
7-2 Aggregate Functions
7-3 Group Functions
7-4 Analytical Functions
8 Joins and Subqueries
8-1 Inner Joins
8-2 Outer Joins
8-3 Self-Joins
8-4 Cross Joins
8-5 Subqueries
9 Set Operators
9-1 UNION
9-2 UNION ALL
9-3 INTERSECT
9-4 MINUS
10 Grouping and Aggregation
10-1 GROUP BY Clause
10-2 HAVING Clause
10-3 ROLLUP and CUBE
10-4 GROUPING SETS
11 Transactions and Concurrency
11-1 Transaction Control Statements
11-2 Locking and Concurrency
11-3 Isolation Levels
12 Oracle SQL Developer
12-1 Overview of Oracle SQL Developer
12-2 Using SQL Worksheet
12-3 Managing Connections
12-4 Running Scripts
13 Advanced SQL Topics
13-1 Recursive Queries
13-2 Model Clause
13-3 PIVOT and UNPIVOT
13-4 Flashback Query
14 Performance Tuning
14-1 Query Optimization
14-2 Indexing Strategies
14-3 Analyzing Query Performance
15 Security and Auditing
15-1 User Management
15-2 Role Management
15-3 Auditing SQL Statements
16 Backup and Recovery
16-1 Backup Strategies
16-2 Recovery Strategies
16-3 Using RMAN
17 Oracle Database Architecture
17-1 Overview of Oracle Database Architecture
17-2 Memory Structures
17-3 Process Structures
17-4 Storage Structures
18 PLSQL Basics
18-1 Introduction to PLSQL
18-2 PLSQL Block Structure
18-3 Variables and Data Types
18-4 Control Structures
18-5 Exception Handling
19 Oracle SQL Certification Exam Preparation
19-1 Exam Objectives
19-2 Sample Questions
19-3 Practice Tests
19-4 Exam Tips
Overview of SQL

Overview of SQL

SQL, or Structured Query Language, is a domain-specific language used for managing and manipulating relational databases. It is the standard language for relational database management systems (RDBMS) and is essential for anyone looking to work with databases.

Key Concepts

1. Relational Databases

Relational databases are collections of data organized into tables. Each table consists of rows and columns, where each row represents a record, and each column represents a field or attribute. SQL allows you to interact with these tables to retrieve, insert, update, and delete data.

Example: Consider a database for a library. The "Books" table might have columns like "Title," "Author," and "ISBN." Each row in this table represents a unique book in the library.

2. SQL Commands

SQL commands are used to perform various operations on the data in a database. The most common commands include:

Example: To retrieve all books written by a specific author, you might use a SELECT statement like this:

SELECT * FROM Books WHERE Author = 'J.K. Rowling';

3. Data Integrity

Data integrity ensures that the data in a database is accurate and consistent. SQL provides mechanisms like constraints (e.g., PRIMARY KEY, FOREIGN KEY, UNIQUE) to enforce data integrity rules. These constraints help prevent invalid data from being entered into the database.

Example: A PRIMARY KEY constraint ensures that each row in a table is uniquely identifiable. For instance, the "ISBN" column in the "Books" table could be designated as the PRIMARY KEY to ensure no two books have the same ISBN.

4. Query Optimization

Query optimization involves writing SQL queries in a way that maximizes performance. This includes understanding how the database engine processes queries and using techniques like indexing, joins, and subqueries to improve efficiency.

Example: If you frequently query the "Books" table by the "Author" column, creating an index on that column can significantly speed up the query execution time.

5. Transactions

Transactions are a sequence of SQL operations treated as a single unit of work. They ensure that all operations within the transaction are completed successfully; otherwise, the database is rolled back to its previous state. This is crucial for maintaining data consistency.

Example: When transferring money between two bank accounts, a transaction ensures that the withdrawal from one account and the deposit into another account either both succeed or both fail, maintaining the balance integrity.

Understanding these key concepts is fundamental to mastering SQL and becoming an Oracle Database SQL Certified Associate. By grasping the structure of relational databases, the use of SQL commands, the importance of data integrity, query optimization techniques, and the role of transactions, you will be well-equipped to handle complex database tasks.