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Advanced SQL Course for Database Professionals

Enhance your SQL proficiency with advanced techniques, covering complex queries, performance tuning, and database security management.

4.8 Rating Advanced Course 12 Weeks

About this Course

This Advanced SQL course is tailored for database professionals seeking to deepen their knowledge in SQL. It covers essential topics like data security, transaction management, and performance optimization, preparing learners to manage and optimize complex databases in professional environments.

Course Objective

To equip learners with advanced SQL skills, covering critical topics and practical applications that culminate in a final project integrating all learned concepts.

Skills you'll gain

Complex Query Optimization Advanced Data Management Database Security and Permissions Stored Procedures and Functions Transaction Control and Error Handling

Syllabus

  • Introduction to Databases & SQL
  • Setting Up SQL Environment
  • Basic SQL Statements: SELECT, FROM, WHERE
  • Using Operators and Sorting Data
  • Introduction to Functions (COUNT, SUM, AVG, MIN, MAX)
Practice Task: Write a query to display all rows from a sample table, sorted by a specific column.

  • Joining Tables: INNER JOIN, LEFT JOIN, RIGHT JOIN
  • Grouping Data with GROUP BY and HAVING
  • Data Insertion and Modification: INSERT, UPDATE, DELETE
  • Working with Subqueries
  • Handling Null Values and Aliasing
Practice Task: Write queries to join two tables and filter the results based on specific conditions.

  • Constraints and Keys: Primary, Foreign, Unique, and Check
  • Creating and Altering Tables
  • Using Views and Indexes
  • Nested and Complex Queries
  • Combining Queries: UNION, INTERSECT
Practice Task: Design a small database schema with at least two tables and write queries to test the structure.

  • Database Design & Setup
  • Data Insertion and Basic Queries
  • Implementing Advanced Queries
  • Testing and Optimizing Queries
  • Final Project Review & Submission
Project: Build an Employee Management System with tables for Employees, Departments, and Salaries.

  • Window Functions: ROW_NUMBER, RANK, DENSE_RANK
  • Aggregate Functions with OVER and PARTITION BY
  • Common Table Expressions (CTEs)
  • Using CASE Statements for Conditional Logic
  • Intro to Stored Procedures and Functions
Practice Task: Write a query to rank items within groups, using window functions.

  • Transactions: COMMIT, ROLLBACK, SAVEPOINT
  • ACID Properties in SQL
  • Error Handling with TRY...CATCH
  • Managing Triggers for Automation
  • Indexes and Performance Optimization
Practice Task: Write SQL queries with transaction control, demonstrating commit and rollback operations.

  • Managing User Permissions and Roles
  • GRANT and REVOKE Statements
  • Data Encryption Techniques
  • Ensuring Data Integrity with Constraints
  • Best Practices for Database Security
Practice Task: Create user roles with specific permissions and demonstrate data access control.

  • Setting Up the Database Schema
  • Implementing Advanced Queries for Inventory Tracking
  • Building Stored Procedures for Key Operations
  • Implementing Security Controls
  • Testing, Debugging, and Optimization
Project: Develop an Inventory Management System that allows for product tracking, user permissions, and secure transactions.

  • Introduction to Data Warehousing
  • Star and Snowflake Schema Designs
  • Dimensional Modeling Techniques
  • ETL (Extract, Transform, Load) Processes
  • Partitioning Large Data Tables
Practice Task: Design a basic star schema for a retail sales database and implement an ETL process.

  • Analyzing Query Execution Plans
  • Indexing Strategies for Large Databases
  • Caching Techniques and Materialized Views
  • Partitioning and Sharding for Scalability
  • Query Optimization Techniques
Practice Task: Optimize an existing query using indexing and other performance-tuning techniques.

  • Advanced Window Functions and Analytics
  • Recursive Queries and Hierarchical Data
  • JSON and XML Data Handling in SQL
  • Handling Unstructured Data with NoSQL
  • Advanced Use of Temporary Tables and CTEs
Practice Task: Create a recursive query to analyze hierarchical data within an employee reporting structure.

  • Building a Scalable Database Schema
  • Implementing Data Warehousing and ETL Processes
  • Creating Optimized Stored Procedures for Data Analytics
  • Implementing Data Security and Permissions Management
  • Testing, Debugging, and Documenting the System
Project: Develop an Enterprise Data Management System that includes data warehousing, complex analytics, and security protocols for handling sensitive business data.

About the Instructor

Shalini Baskaran

Founder & CEO

4.98 Instructor rating

40 Students

Shalini Baskaran, is the CEO and Curriculum Director at Savvy Axiss. With a deep background in computer science, she has designed numerous courses to build strong foundations for aspiring programmers. Known for her clear, practical teaching style, she excels at making complex topics accessible. She is passionate about empowering students with real-world skills, and she looks forward to guiding you through this foundational journey in programming.

Fee ₹ 3999

₹ 2999

ENROLL NOW

Duration

12 Weeks

Class Time

1.5 Hours

Enrolled

220 students

Language

English / Tamil

Skill Level

Advanced

Schedule

Monday to Friday

Certificate

Yes

SoftSkill Trainning

Free

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