Course Curriculum

Module 1: Introduction to Oracle SQL

• Overview of Oracle database and SQL
• Introduction to relational databases and basic SQL concepts
• Understanding the Oracle SQL environment and tools

Module 2: Retrieving Data with SELECT Statement

• SELECT statement syntax and basic query execution
• Filtering data using WHERE clause
• Sorting query results with ORDER BY
• Working with NULL values
• Using arithmetic expressions and functions in SELECT statements

Module 3: Filtering Data with Conditions

• Logical operators (AND, OR, NOT)
• Comparison operators (=, <, >, etc.) and pattern matching (LIKE)
• Using multiple conditions and parentheses
• NULL-related functions (IS NULL, IS NOT NULL)
• BETWEEN and IN operators for range and set matching

Module 4: Sorting and Aggregating Data

• Sorting query results with ORDER BY and NULLs
• Aggregating data using GROUP BY clause
• Filtering grouped data with HAVING clause
• Using aggregate functions (SUM, AVG, COUNT, MAX, MIN)
• Handling duplicate values with DISTINCT

Module 5: Joining Tables

• Understanding table relationships and join types (INNER JOIN, OUTER JOIN)
• Cartesian product and cross joins
• Joining multiple tables with JOIN conditions
• Self-joins and table aliases
• Using subqueries in joins

Module 6: Working with Functions and Expressions

• Scalar functions (numeric, string, date functions)
• Conversion functions (TO_CHAR, TO_NUMBER, TO_DATE)
• Case expressions and DECODE function
• Working with dates and date arithmetic
• Using built-in analytical functions (LEAD, LAG, RANK, etc.)

Module 7: Modifying Data

• Inserting data into tables with INSERT statement
• Updating existing data with UPDATE statement
• Deleting data with DELETE statement
• Controlling transactions with COMMIT and ROLLBACK
• Managing sequences for generating unique values

Module 8: Managing Database Objects

• Creating and altering tables, views, and indexes
• Adding constraints (primary key, foreign key, unique constraints)
• Modifying table structure with ALTER TABLE
• Dropping and truncating tables
• Managing data using DML statements in PL/SQL

Module 9: Data Manipulation with Advanced Techniques

• Using subqueries for complex data retrieval
• Correlated subqueries and EXISTS operator
• Combining multiple queries with UNION, INTERSECT, and MINUS
• Working with hierarchical data using CONNECT BY
• Introduction to regular expressions

Module 10: Performance Optimization and Query Tuning

• Analyzing and interpreting query execution plans
• Indexes and their impact on query performance
• Optimizer hints and statistics
• Using EXPLAIN PLAN and SQL tuning tools
• Best practices for efficient SQL coding

Course Overview

ORACLE SQL Online Training in Hyderabad

Oracle SQL refers to the variant of SQL (Structured Query Language) that is specific to the Oracle Database management system. Oracle SQL is a powerful language used to manage and manipulate data stored in Oracle databases. It provides a wide range of features and capabilities for querying, inserting, updating, and deleting data.

Here are some key features and concepts related to Oracle SQL:

1. Data Definition Language (DDL): Oracle SQL includes DDL commands such as CREATE, ALTER, and DROP to define and manage database objects like tables, indexes, views, sequences, and constraints.

2. Data Manipulation Language (DML): DML commands in Oracle SQL, such as INSERT, UPDATE, DELETE, and MERGE, are used to manipulate data within the database tables.

3. Data Query Language (DQL): DQL commands like SELECT are used to retrieve data from one or more tables based on specified conditions. Oracle SQL supports various clauses and operators for advanced querying, including WHERE, GROUP BY, HAVING, ORDER BY, JOINs, and subqueries.

4. Functions and Aggregates: Oracle SQL provides a rich set of built-in functions and aggregate functions (e.g., SUM, COUNT, AVG, MAX, MIN) to perform calculations and transformations on data during queries.

5. Data Control Language (DCL): Oracle SQL includes DCL commands like GRANT and REVOKE to manage user privileges and control access to database objects.

6. Transaction Management: Oracle SQL supports transaction management using commands like COMMIT and ROLLBACK, allowing you to control the atomicity, consistency, isolation, and durability (ACID) properties of database operations.

7. Analytic Functions: Oracle SQL offers powerful analytic functions like RANK, ROW_NUMBER, LAG, LEAD, and PARTITION BY, which enable advanced data analysis and reporting capabilities.

8. Stored Procedures, Functions, and Packages: Oracle SQL supports the creation and execution of stored procedures, functions, and packages, allowing for the encapsulation of business logic and reusable code.

9. Indexes and Performance Optimization: Oracle SQL allows the creation of indexes on database tables to improve query performance. It also provides various optimization techniques like query hints and the EXPLAIN PLAN feature to analyze and tune SQL queries.

Oracle Database is a widely used relational database management system (RDBMS), and Oracle SQL is the primary language for interacting with Oracle databases. It's important to consult Oracle's official documentation and resources for detailed information on specific features, syntax, and best practices when working with Oracle SQL.

What is Oracle SQL used for?

Oracle SQL is used for various purposes related to managing and manipulating data stored in Oracle databases. Some of the common uses of Oracle SQL include:

1. Data Retrieval: Oracle SQL is primarily used to retrieve data from Oracle databases. It allows users to query and retrieve specific data from one or more database tables based on specified criteria. SQL provides a powerful and flexible language for filtering, sorting, and aggregating data to meet specific requirements.

2. Data Manipulation: Oracle SQL enables users to manipulate data within the database. It allows for inserting new records into tables, updating existing records, and deleting unwanted data. SQL statements such as INSERT, UPDATE, and DELETE are used to perform these operations.

3. Data Definition: Oracle SQL includes commands for defining and managing the structure of the database. Users can create tables, define columns and data types, add constraints (such as primary keys and foreign keys), create views, and manage indexes using SQL statements like CREATE, ALTER, and DROP.

How is Oracle SQL different to SQL?

It's important to note that SQL is a standard language defined by ANSI (American National Standards Institute) and ISO (International Organization for Standardization). Different database management systems, including Oracle, MySQL, Microsoft SQL Server, and others, may have their own implementations of SQL with variations and extensions specific to their respective platforms.

While the core SQL concepts and syntax are generally similar across different database systems, the specific features, optimizations, and tools available in Oracle SQL make it uniquely suited for working within the Oracle Database ecosystem.

What is MySQL and Oracle SQL?

MySQL: MySQL is an open-source relational database management system (RDBMS) that uses SQL (Structured Query Language) for managing and manipulating data. It is widely used for web applications and other projects where a reliable and scalable database solution is required. MySQL offers a robust and efficient platform for storing, retrieving, and managing data, and it is known for its speed, ease of use, and flexibility. MySQL supports a wide range of operating systems and programming languages, making it a popular choice for developers and organizations of all sizes.

Oracle SQL: Oracle SQL refers to the variant of SQL that is specific to the Oracle Database management system. It is a powerful language used for managing and manipulating data stored in Oracle databases. Oracle SQL provides a comprehensive set of features and capabilities for querying, inserting, updating, and deleting data. It includes advanced functionalities such as analytical functions, hierarchical querying, and partitioning, making it suitable for handling complex data analysis and high-performance applications. Oracle SQL is often used in conjunction with PL/SQL, Oracle's proprietary procedural language, to develop stored procedures, functions, and triggers within the Oracle Database environment. Oracle SQL is known for its scalability, security, and enterprise-grade features, making it a popular choice for large-scale applications and organizations.

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ORACLE SQL Rated 5.0 based on 2 reviews.

By: Raghav, Rating:
I recently completed the ORACLE SQL Online Training in Ameerpet, Hyderabad, and it was a fantastic learning experience. The trainers at this institute are truly exceptional. Their deep knowledge of Oracle SQL and their ability to explain complex concepts in a simple and understandable manner set them apart. They created a supportive and engaging learning environment that made the entire training enjoyable.

By: Uday, Rating:
The ORACLE SQL Online Training in Ameerpet, Hyderabad, is undoubtedly one of the best training programs I've ever attended. The trainers are experts in Oracle SQL, and their passion for teaching is evident in every session. They made complex SQL concepts accessible and provided practical examples that made learning SQL a breeze. The course content is comprehensive, starting from the fundamentals of SQL and gradually progressing to more advanced topics. What truly sets this training apart is the hands-on approach. The practical labs and real-world projects gave me the confidence to work with SQL in real-life scenarios.

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