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
Introduction to SQL

Introduction to 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

A relational database is a collection of data organized into tables. Each table consists of rows and columns, where each row represents a record, and each column represents a field. The relationships between tables are defined by keys, which allow data to be linked across different tables.

Example: Consider a database for a library. It might have tables like "Books," "Authors," and "Publishers." The "Books" table could have columns like "BookID," "Title," "AuthorID," and "PublisherID." The "AuthorID" in the "Books" table links to the "Authors" table, creating a relationship.

2. SQL Statements

SQL statements are commands used to interact with a database. They can be used to perform various operations such as querying data, inserting new records, updating existing records, and deleting records. The most common SQL statements include SELECT, INSERT, UPDATE, and DELETE.

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

SELECT Title FROM Books WHERE AuthorID = 1;

3. Data Types

Data types define the kind of data that can be stored in a database. Common SQL data types include VARCHAR (for variable-length character strings), INT (for integers), DATE (for dates), and DECIMAL (for floating-point numbers). Understanding data types is crucial for designing efficient and accurate database schemas.

Example: In the "Books" table, the "Title" column might use the VARCHAR data type to store book titles, while the "PublicationDate" column might use the DATE data type to store the publication date.

4. Primary and Foreign Keys

Primary keys are unique identifiers for each record in a table, ensuring that each record can be uniquely identified. Foreign keys are used to establish relationships between tables by referencing the primary key of another table. These keys are fundamental for maintaining data integrity and consistency.

Example: In the "Books" table, "BookID" could be the primary key. The "AuthorID" column, which references the "AuthorID" in the "Authors" table, would be a foreign key.

5. Normalization

Normalization is the process of organizing a database to reduce redundancy and improve data integrity. It involves dividing a database into multiple related tables and defining relationships between them. Common normalization forms include First Normal Form (1NF), Second Normal Form (2NF), and Third Normal Form (3NF).

Example: If the "Books" table also stored author information, it would violate normalization principles. By separating author information into the "Authors" table and linking it via a foreign key, you achieve better normalization.

Understanding these foundational concepts is crucial for mastering SQL and becoming an Oracle Database SQL Certified Associate. By grasping the structure and operations of relational databases, you can effectively manage and manipulate data to meet various business needs.