| Course Name | Duration | Classes | Total Fee | Mode of Training | Class Timing |
|---|---|---|---|---|---|
|
MySQL
Course |
3 Months |
60 |
36,000 PKR |
Online & Face-to-Face |
To be decided mutually with students |
MySQL Training Certification Course
- MySQL is a database course. It helps to store and manage data. We can easily use it for websites.
- It teaches how to create databases. We learn to make tables and fields. Everything is organized and clear.
- Students learn SQL commands. These commands help to get data. We can also change and delete data.
- MySQL works with many languages. It supports PHP, Python, and Java. That makes it very powerful.
- It teaches data security basics. We learn to keep data safe. Passwords and users are managed.
- MySQL is used in real projects. Students build small database apps. It gives good practical experience.
- After this course, students can work. They can handle databases easily. It helps in IT and web jobs.
MySQL Training Certification Course in Rawalpindi.
Advantages of Learning MySQL
- MySQL helps you learn how to manage and store data easily. It teaches how to use databases in real life. It is useful for websites and apps.
- It is very simple and easy to learn for beginners. The commands are short and clear. Anyone can start without coding experience.
- MySQL is free and open-source software. You can use it without any cost. It saves money for students and businesses.
- It is used by many big companies. Learning it gives better job chances. It adds value to your resume.
- You can create, update, and delete data easily. It makes your work faster and organized. It improves your data handling skills.
- MySQL works on all types of systems. You can run it on Windows, Mac, or Linux. It gives flexibility in work.
- It helps you build websites and apps with data. You can connect it with PHP or Python. It makes you a better web developer.
MySQL Training Certification Course Outline
Learn what MySQL is and how it helps store and manage data. Understand tables, rows, and columns in a simple way. Learn easy commands to add, delete, and search data. Do small fun projects to use what you learn in real examples.
Module 1: SQL Queries and Optimization
- Subqueries and Common Table Expressions (CTEs)
- Nested Subqueries
- CTEs and Recursive Queries
- Query Optimization Techniques
- Advanced Join Techniques
- Self-Joins
- Subqueries in JOINs
- Optimizing JOINs using Indexes and EXPLAIN
- Window Functions
- ROW_NUMBER(), RANK(), DENSE_RANK()
- Aggregation with PARTITION BY and ORDER BY
- Use Cases: Ranking, Running Totals, and Gap Analysis
- Full Text Search
- Configuring Full Text Indexes
- Querying Full Text Data
- Performance Tuning for Full Text Search
Module 2: Database Design and Modeling
- Normalization vs. Denormalization
- Understanding and Applying Normal Forms
- When to Denormalize and Performance Considerations
- Data Modeling for Large-scale Applications
- Designing Efficient Schemas for High-Volume Data
- Handling Complex Relationships and Multi-tenancy
- Partitioning Strategies
- Horizontal and Vertical Partitioning
- Implementing Range, Hash, and Composite Partitioning
- Querying Across Partitions
- Sharding and Replication
- Horizontal Sharding Techniques
- Master-Slave and Multi-Master Replication
- Real-time Data Syncing and Consistency
Module 3:Performance Tuning and Optimization
- Query Performance Optimization (QPO)
- Analyzing Slow Queries using EXPLAIN, SHOW WARNINGS
- Index Optimization Techniques (B-Tree, Full Text, Spatial, etc.)
- Caching and Memory Optimization
- InnoDB Internals
- Understanding Buffer Pool, Transaction Logs, and Redo Logs
- Transaction Isolation Levels (READ UNCOMMITTED, READ COMMITTED, REPEATABLE READ, SERIALIZABLE)
- Query Optimization with Complex Queries
- Query Caching
- Index Management
- Using EXPLAIN for Query Optimization
- Replication Optimization
- Minimizing Replication Latency
- Handling Failures in Replicated Systems
- Master-Slave Performance Best Practices
Module 4:Security and High Availability
- MySQL Security Best Practices
- User Management and Privileges
- Data Encryption (At Rest and In Transit)
- Auditing and Monitoring Security Events
- Access Control and Auditing
- Fine-grained Access Controls
- Implementing Role-Based Access Control (RBAC)
- Implementing Audit Logs and Monitoring
- High Availability and Disaster Recovery
- Backup and Restore Strategies
- High Availability Clusters using MySQL Replication and Galera Cluster
- Implementing Proxy Solutions (e.g., ProxySQL, MySQL Router)
Module 5: Development and Integration
- Stored Procedures, Functions, Triggers, and Events
- Creating Complex Stored Procedures
- Using Functions with Conditional Logic
- Managing Triggers for Automation
- Advanced Data Types and JSON Handling
- Using JSON and BLOB Data Types
- JSON Functionality for Complex Data Queries and Updates
- MySQL for Big Data and Analytics
- Integration with Data Warehousing Solutions
- Using MySQL for Reporting and Analytics
- Optimizing for Large-scale Analytics Workloads
- Performance Testing and Monitoring Tools
- Benchmarking MySQL Performance
- Using Tools: sysbench, MySQL Performance Schema, and Nagios
Module 6:Case Studies and Real-world Projects
- Case Studies
- Real-world application of advanced MySQL concepts in various industries
- Capstone Project
- Designing and optimizing a large-scale MySQL database for a specific business use case
- Setting Up Full Text Indexes: Creating, managing, and optimizing full-text indices.
- Querying Full Text Data: Using MATCH(), IN BOOLEAN MODE, and combining full text with boolean searches.
- Performance Tuning: Optimizing match performance through relevance scoring, tokenizer settings, and configuration adjustments.
Module 7: SQL Queries and Optimization
Subqueries and Common Table Expressions (CTEs)
- Nested Subqueries: Using subqueries within SELECT, INSERT, UPDATE, DELETE statements.
- CTEs: Recursive queries, multi-level CTEs, and combining CTEs with subqueries.
- Optimization Techniques: Improving performance by reducing subquery complexity, avoiding joins when possible, and using indexes.
2. Advanced Join Techniques
- Self-Joins: Practical applications, pitfalls, and optimization.
- Subqueries in JOINs: Using subqueries within INNER, LEFT, RIGHT, and FULL OUTER JOINs.
- Optimizing JOINs: Utilizing indexes, analyzing execution plans with EXPLAIN, and minimizing the use of large datasets.
Module 8: Database Design and Modeling
Normalization vs. Denormalization
- Normalization: Third Normal Form (3NF), Boyce-Codd Normal Form (BCNF) with practical use cases.
- Denormalization: When and how to denormalize for performance and specific use cases like reporting, caching, and read-heavy applications.
- Trade-offs: Understanding the balance between normalization and performance.
2. Data Modeling for Large-scale Applications
- Designing High-volume Data Structures: Partitioning for scalability, avoiding joins, and ensuring data integrity across large datasets.
- Multi-Tenancy Design: Managing data isolation, sharing best practices, and designing schemas to handle different customer data securely.
Module 9:Performance Tuning and Optimization
Query Performance Optimization (QPO)
- EXPLAIN & SHOW WARNINGS: Analyzing queries for bottlenecks, excessive scans, and unnecessary operations.
- Index Optimization: B-Tree, Full Text, and Spatial Indexes. Trade-offs and use cases for each type of index.
- Caching: Query cache settings, alternatives to query caching like Memcached, Redis, and caching strategies for large datasets.
- This advanced-level course aims to deepen understanding and mastery of MySQL through both theoretical knowledge and hands-on practice.
Experience and Inspiring Trainers:
Our trainers bring their years of industry experience during the course. They are expert and passionate about delivering inspiring training as they know training inside out. They will advise you on all the options to make sure you get the best possible result.
Real-time Practice and Projects:
Would you like recommendations for MySQL courses or further guidance on getting started prerequisites:
Prerequisites for MySQL Course:
- You should know basic computer skills. Like how to use files and folders. It helps you work easily with data.
- You must know a little about databases. Just the idea of storing and finding data. It makes MySQL easier to understand.
- Learn some basic English words. Because MySQL commands use English. It helps you read and write queries.
- Have a bit of logic and math sense. Simple problem-solving is enough. It helps in making correct data queries.
- Know a few things about coding basics. Like what variables and commands are. It supports your learning of SQL commands.
- Be familiar with Windows or any OS. You should know how to install software. It helps in setting up MySQL easily.
- Have interest in data and learning. Be ready to explore and practice daily. It makes your MySQL journey fun and easy.
No prior experience in MySQL is required, but having these basics will help in grasping concepts faster.
Certificate:
Finally completing this training you will receive a course completion certificate along with internship in MySQL Training so you can get recognition for your new skills.
Course Material:
Softy Copy notes are briefly included in this course
Support and Careers Advice:
In the end our trainers are always ready to help you for any problems or question regarding MySQL. We prepare students for facing Interview questions on MySQL and help them to build their online resume. Our more than 90% students are placed in good MNCs.
“Our Student Success is Our Mission”.
