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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 Pakistan

MySQL Training Certification Course

In addition to validating your technical skills, MySQL Certification can help you advance your expertise. Once MySQL Certified, you’ll be eligible for perks that help you show off your achievements and keep learning. Register for exams and claim benefits at Technocation  training.
 

Technocation provides an excellent faculty and qualified developers as there is a remarkable prospect in this field. One can make his/her Career with the help of both MySQL Training and establish an identity and get guidance in Rawalpindi.

Therefore, we aim to shape inspiring students with in-depth training to meet the requirements of the IT industry and build substantial grounds in MySQL Training by exhibiting students with various projects. Technocation also bestows the Best MySQL Training Course in Rawalpindi, Islamabad.

We guide people from every background to change their lives via our career-oriented short-term courses in Rawalpindi. Our evening and online course primarily focus on school, college, university students, and full/part-time employees.

Advantages of Learning MySQL

  • High Demand: Boosts career prospects in IT and data fields.
  • Free & Open-Source: Cost-effective for personal and professional use.
  • Beginner-Friendly: Easy to learn with SQL support.
  • Scalable: Suitable for small to large applications.
  • Cross-Platform: Compatible with major OS and programming languages.
  • Fast & Reliable: Optimized for performance and quick queries.

MySQL Training Certification Course Outline

An advanced-level MySQL course typically covers a wide range of topics, from advanced database design and performance optimization to complex querying, security, and replication. Below is a detailed outline for such a course:

 Module 1: SQL Queries and Optimization

  1. Subqueries and Common Table Expressions (CTEs)
    • Nested Subqueries
    • CTEs and Recursive Queries
    • Query Optimization Techniques
  2. Advanced Join Techniques
    • Self-Joins
    • Subqueries in JOINs
    • Optimizing JOINs using Indexes and EXPLAIN
  3. Window Functions
    • ROW_NUMBER(), RANK(), DENSE_RANK()
    • Aggregation with PARTITION BY and ORDER BY
    • Use Cases: Ranking, Running Totals, and Gap Analysis
  4. Full Text Search
    • Configuring Full Text Indexes
    • Querying Full Text Data
    • Performance Tuning for Full Text Search

 Module 2: Database Design and Modeling

  1. Normalization vs. Denormalization
    • Understanding and Applying Normal Forms
    • When to Denormalize and Performance Considerations
  2. Data Modeling for Large-scale Applications
    • Designing Efficient Schemas for High-Volume Data
    • Handling Complex Relationships and Multi-tenancy
  3. Partitioning Strategies
    • Horizontal and Vertical Partitioning
    • Implementing Range, Hash, and Composite Partitioning
    • Querying Across Partitions
  4. Sharding and Replication
    • Horizontal Sharding Techniques
    • Master-Slave and Multi-Master Replication
    • Real-time Data Syncing and Consistency

 Module 3:Performance Tuning and Optimization

  1. Query Performance Optimization (QPO)
    • Analyzing Slow Queries using EXPLAIN, SHOW WARNINGS
    • Index Optimization Techniques (B-Tree, Full Text, Spatial, etc.)
    • Caching and Memory Optimization
  2. InnoDB Internals
    • Understanding Buffer Pool, Transaction Logs, and Redo Logs
    • Transaction Isolation Levels (READ UNCOMMITTED, READ COMMITTED, REPEATABLE READ, SERIALIZABLE)
  3. Query Optimization with Complex Queries
    • Query Caching
    • Index Management
    • Using EXPLAIN for Query Optimization
  4. Replication Optimization
    • Minimizing Replication Latency
    • Handling Failures in Replicated Systems
    • Master-Slave Performance Best Practices

 Module 4:Security and High Availability

  1. MySQL Security Best Practices
    • User Management and Privileges
    • Data Encryption (At Rest and In Transit)
    • Auditing and Monitoring Security Events
  2. Access Control and Auditing
    • Fine-grained Access Controls
    • Implementing Role-Based Access Control (RBAC)
    • Implementing Audit Logs and Monitoring
  3. 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

  1. Stored Procedures, Functions, Triggers, and Events
    • Creating Complex Stored Procedures
    • Using Functions with Conditional Logic
    • Managing Triggers for Automation
  2. Advanced Data Types and JSON Handling
    • Using JSON and BLOB Data Types
    • JSON Functionality for Complex Data Queries and Updates
  3. MySQL for Big Data and Analytics
    • Integration with Data Warehousing Solutions
    • Using MySQL for Reporting and Analytics
    • Optimizing for Large-scale Analytics Workloads
  4. Performance Testing and Monitoring Tools
    • Benchmarking MySQL Performance
    • Using Tools: sysbench, MySQL Performance Schema, and Nagios

 Module 6:Case Studies and Real-world Projects

  1. Case Studies
    • Real-world application of advanced MySQL concepts in various industries
  2. 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.
3. Window Functions
  • ROW_NUMBER(), RANK(), DENSE_RANK(): Application in pagination, reporting, and analytics.
  • Aggregations with PARTITION BY and ORDER BY: Efficient calculations of running totals, moving averages, and gap analysis.
  • Practical Use Cases: Detecting changes between rows, ranking data, and preparing data for analytics.

 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.
3. Partitioning Strategies
  • Horizontal Partitioning: Split rows by key columns (e.g., by user ID or region).
  • Vertical Partitioning: Splitting columns for improved query performance.
  • Composite Partitioning: Combining range and hash partitioning for optimal storage and query performance.
  • Querying across Partitions: Techniques for optimized access and managing joins between partitions.

 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:

  • Basic Computer Skills: Familiarity with operating systems and file management.
  • Understanding of Databases: Basic knowledge of what databases are.
  • Programming (Optional): For advanced courses, knowledge of languages like Python or PHP is helpful.
  • SQL Basics: Familiarity with simple commands like SELECT, INSERT, etc., for intermediate or advanced levels.
  • System Requirements: Access to MySQL or a compatible environment

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”​.