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
History of SQL

History of SQL

Introduction to SQL

SQL, or Structured Query Language, is a domain-specific language used for managing and manipulating relational databases. It was developed to interact with databases in a standardized way, allowing users to perform various operations such as querying, updating, and managing data.

Early Beginnings

The origins of SQL can be traced back to the early 1970s when IBM researchers Edgar F. Codd and Donald D. Chamberlin were working on a project called SEQUEL (Structured English Query Language). This project aimed to create a language that could easily interact with databases, making it simpler for users to retrieve and manage data.

Standardization

In the late 1970s, IBM released the first version of SQL, which was initially called SEQUEL/2. Over time, SQL gained popularity and was adopted by various database vendors. In 1986, the American National Standards Institute (ANSI) and the International Organization for Standardization (ISO) standardized SQL, making it the official language for relational database management systems (RDBMS).

Evolution and Growth

As SQL became more widely used, it evolved with new features and capabilities. Each new version of SQL introduced enhancements to improve performance, security, and usability. Today, SQL is the standard language for RDBMS, and it is used by millions of developers and database administrators worldwide.

Oracle's Role

Oracle Corporation played a significant role in the adoption and evolution of SQL. In the early 1980s, Oracle released its first commercial RDBMS, which supported SQL. Oracle's implementation of SQL was robust and scalable, making it a popular choice for large enterprises. Over the years, Oracle continued to innovate and improve its SQL implementation, contributing to the language's growth and standardization.

Modern SQL

Today, SQL is a mature and powerful language with a rich set of features. It is used in a wide range of applications, from small-scale projects to large enterprise systems. Modern SQL includes advanced features such as stored procedures, triggers, and complex joins, making it a versatile tool for database management.

Conclusion

The history of SQL is a testament to the power of standardization and innovation. From its early beginnings as a research project to its current status as the standard language for relational databases, SQL has evolved to meet the needs of modern data management. Understanding the history of SQL provides valuable insights into its development and the role it plays in today's digital landscape.