Master advanced SQL and database optimization. Learn to write complex SQL queries, optimize database performance, and extract valuable insights from large datasets.

Training on Advanced SQL and Database Optimization

Course Overview

This comprehensive course on Advanced SQL and Database Optimization is designed to equip participants with in-depth knowledge and skills required to optimize database performance and execute complex SQL queries efficiently. The course covers advanced SQL concepts, indexing strategies, query optimization techniques, and database performance tuning. Participants will learn how to handle large datasets, optimize queries, and implement best practices for database management. By the end of the course, attendees will be able to enhance the speed, reliability, and scalability of databases in real-world scenarios.

Course Duration

10 Days

Who Should Attend

  • Database administrators (DBAs)
  • Data analysts and data scientists
  • Software developers and engineers
  • IT professionals involved in database management
  • Anyone with a foundational understanding of SQL who wants to advance their skills in database optimization
Course Level: Advanced

Course Objectives

By the end of this course, participants will be able to:

  • Write and optimize advanced SQL queries for complex data retrieval.
  • Understand and apply indexing strategies to improve query performance.
  • Analyze and tune database performance for large-scale systems.
  • Implement best practices for database normalization and denormalization.
  • Manage and optimize transactions and locking mechanisms.
  • Utilize partitioning, sharding, and other techniques for handling large datasets.
  • Perform in-depth query analysis using execution plans and profiling tools.
  • Optimize stored procedures, functions, and triggers for efficiency.
  • Understand the impact of hardware and infrastructure on database performance.
  • Develop strategies for database maintenance, monitoring, and scaling.

Course Outline:

Module 1: Advanced SQL Concepts

  • Common Table Expressions (CTEs)
  • Window functions
  • Recursive queries
  • Subqueries and correlated subqueries
  • Case statements and conditional logic
  • Regular expressions
  • Full outer joins and anti-joins

Module 2: Query Optimization Fundamentals

  • Explain plans and query execution
  • Indexing concepts and best practices
  • Query performance tuning techniques
  • Identifying performance bottlenecks
  • Query rewrite and optimization strategies

Module 3: Index Optimization

  • Index types (B-tree, bitmap, functional)
  • Index creation and management
  • Index usage and performance analysis
  • Index fragmentation and reorganization
  • Covering indexes and index hints

Module 4: Database Design and Modeling

  • Normalization and denormalization
  • Data warehousing concepts (star schema, snowflake schema)
  • Dimensional modeling
  • Data mart design
  • Data modeling tools and techniques

Module 5: Performance Tuning Techniques

  • Parameter tuning
  • Memory management
  • I/O optimization
  • Parallel query processing
  • Partitioning strategies

Module 6: Database Monitoring and Troubleshooting

  • Monitoring tools and metrics
  • Identifying and resolving performance issues
  • Troubleshooting techniques
  • Database auditing and security

Module 7: SQL for Data Analysis

  • Data aggregation and summarization
  • Statistical functions
  • Data visualization techniques
  • Reporting and dashboard development

Module 8: Advanced SQL Programming

  • Stored procedures and functions
  • Triggers
  • Dynamic SQL
  • User-defined data types
  • SQL scripting

Module 9: Database Optimization Tools and Techniques

  • Database performance monitoring tools (e.g., Oracle AWR, SQL Server Profiler)
  • Query optimization tools (e.g., EXPLAIN, EXPLAIN ANALYZE)
  • Database tuning advisors
  • Database automation tools

Module 10: Real-World Case Studies and Projects

  • Applying advanced SQL and optimization techniques to real-world scenarios
  • Hands-on projects and exercises
  • Case studies of database performance optimization success stories
Customized Training

This training can be tailored to your institution needs and delivered at a location of your choice upon request.

Requirements

Participants need to be proficient in English.

Training Fee

The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.

Certification

A certificate from Ideal Workplace Solutions is awarded upon successful completion.

Accommodation

Accommodation can be arranged upon request. Contact via email for reservations.

Payment

Payment should be made before the training starts, with proof of payment sent to [email protected].
For further inquiries, please contact us on details below:

Email: [email protected]
Mobile: +254759708394

Register for the Course

Classroom Training Schedules


April 2025
Date Duration Venue Fee Enroll
7 Apr - 18 Apr 2025 10 days Nairobi, Kenya KES 160,000 | USD 2,000 Register
14 Apr - 25 Apr 2025 10 days Mombasa, Kenya KES 160,000 | USD 2,000 Register
14 Apr - 25 Apr 2025 10 days Nakuru, Kenya KES 160,000 | USD 2,000 Register
21 Apr - 2 May 2025 10 days Kisumu, Kenya KES 160,000 | USD 2,000 Register
7 Apr - 11 Apr 2025 5 days Kigali, Rwanda USD 1,400 Register
May 2025
Date Duration Venue Fee Enroll
5 May - 16 May 2025 10 days Nairobi, Kenya KES 16,000 | USD 2,000 Register
12 May - 23 May 2025 10 days Mombasa, Kenya KES 160,000 | USD 2,000 Register
12 May - 23 May 2025 10 days Nakuru, Kenya KES 160,000 | USD 2,000 Register
19 May - 30 May 2025 10 days Kisumu, Kenya KES 160,000 | USD 2,000 Register
5 May - 9 May 2025 5 days Kigali, Rwanda USD 1,400 Register

Online Training Schedules


April 2025
Date Duration Session Fee Enroll
14 Apr - 25 Apr 2025 10 days Full-day KES 110,000 | USD 1,100 Register
May 2025
Date Duration Session Fee Enroll
12 May - 23 May 2025 10 days Full-day KES 110,000 | USD 1,100 Register
For customized training dates or further enquiries, kindly contact us on +254759708394 or email us at [email protected].

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