15 Topics
10 Days
75 Sessions
Programme Overview
Training Description
Who Should Attend
- Database Administrators (DBAs)
- Database Developers
- SQL Developers
- Data Engineers
- Data Architects
- Software Developers
- Backend Developers
- Application Developers
- BI and Analytics Developers
- Data Analysts working with large databases
- Cloud Database Engineers
- DevOps and Infrastructure Engineers
- Performance Engineers
Session Objectives
- Master Query Optimization and Execution Plans
- Implement Indexing and Partitioning Strategies
- Troubleshoot and Resolve Performance Bottlenecks
- Optimize Database Configuration and Resource Usage
- Enhance Database Design for Performance
- Leverage Monitoring Tools and Diagnostics
- Implement Advanced Tuning Techniques
About the Course
This advanced training course equips participants with the practical skills required to diagnose, optimize, and improve database performance in modern enterprise environments. It focuses on identifying database bottlenecks, improving query execution, designing effective indexes, analyzing execution plans, and optimizing database resources for faster and more reliable applications.
Participants will explore database performance fundamentals, query optimization techniques, indexing strategies, execution plan analysis, joins, transactions, locking, concurrency, memory and CPU utilization, statistics, and workload analysis. The course also addresses performance monitoring, troubleshooting slow queries, database configuration, and optimization strategies for high-volume transactional and analytical workloads.Through practical exercises and real-world scenarios, participants will learn how to identify performance problems, analyze their root causes, rewrite inefficient queries, select appropriate indexing strategies, and implement sustainable database performance improvements.
Curriculum & Topics
15 Topics | 75 Sessions
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Workshop 1.1:
Fundamentals of database optimization and performance tuning.
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Workshop 1.2:
Overview of query optimization, indexing, and server configuration.
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Workshop 1.3:
Setting up a database performance tuning environment.
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Workshop 1.4:
Introduction to database performance tools and metrics.
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Workshop 1.5:
Best practices for database optimization.
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Workshop 2.1:
Mastering query optimization and execution plan analysis.
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Workshop 2.2:
Utilizing query execution plans for performance diagnosis.
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Workshop 2.3:
Implementing query rewriting and optimization techniques.
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Workshop 2.4:
Designing and building efficient SQL queries.
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Workshop 2.5:
Best practices for query optimization.
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Workshop 3.1:
•Utlizing indexing and partitioning techniques for performance improvement.
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Workshop 3.2:
Implementing various index types and strategies.
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Workshop 3.3:
Designing and building partitioned tables.
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Workshop 3.4:
Optimizing indexing for specific query patterns.
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Workshop 3.5:
Best practices for indexing.
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Workshop 4.1:
Implementing database server configuration tuning.
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Workshop 4.2:
Utilizing memory and disk I/O optimization.
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Workshop 4.3:
Designing and building efficient server configurations.
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Workshop 4.4:
Optimizing server parameters for performance.
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Workshop 4.5:
Best practices for server tuning.
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Workshop 5.1:
Designing and building efficient database schemas.
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Workshop 5.2:
Utilizing normalization and denormalization techniques.
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Workshop 5.3:
Implementing schema optimization for query performance.
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Workshop 5.4:
Designing scalable database schemas.
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Workshop 5.5:
Best practices for schema design.
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Workshop 6.1:
Optimizing database performance for specific application workloads.
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Workshop 6.2:
Utilizing workload analysis and tuning.
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Workshop 6.3:
Implementing performance tuning for OLTP and OLAP systems.
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Workshop 6.4:
Designing workload-specific optimization strategies.
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Workshop 6.5:
Best practices for workload tuning.
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Workshop 7.1:
Troubleshooting and addressing common database performance bottlenecks.
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Workshop 7.2:
Analyzing database logs and performance metrics.
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Workshop 7.3:
Utilizing problem-solving techniques for resolution.
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Workshop 7.4:
Resolving common performance issues.
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Workshop 7.5:
Best practices for troubleshooting.
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Workshop 8.1:
Implementing database caching and connection pooling.
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Workshop 8.2:
Utilizing caching mechanisms for data retrieval.
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Workshop 8.3:
Designing and building connection pools.
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Workshop 8.4:
Optimizing caching and pooling for performance.
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Workshop 8.5:
Best practices for caching.
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Workshop 9.1:
Integrating database performance monitoring tools.
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Workshop 9.2:
Utilizing monitoring tools for real-time performance analysis.
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Workshop 9.3:
Designing and building performance dashboards.
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Workshop 9.4:
Optimizing monitoring for proactive tuning.
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Workshop 9.5:
Best practices for monitoring.
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Workshop 10.1:
Understanding how to handle large-scale database optimization.
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Workshop 10.2:
Utilizing distributed database optimization.
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Workshop 10.3:
Implementing parallel query processing.
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Workshop 10.4:
Designing scalable optimization strategies.
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Workshop 10.5:
Best practices for large scale optimization.
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Workshop 11.1:
Exploring advanced database optimization techniques (query rewriting, parallel processing).
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Workshop 11.2:
Utilizing query rewriting for performance improvement.
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Workshop 11.3:
Implementing parallel processing for large queries.
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Workshop 11.4:
Designing and building advanced optimization solutions.
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Workshop 11.5:
Optimizing advanced techniques for specific applications.
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Workshop 11.6:
Best practices for advanced techniques.
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Workshop 12.1:
Implementing database optimization for e-commerce applications.
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Workshop 12.2:
Utilizing database tuning for financial transaction systems.
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Workshop 12.3:
Implementing database performance improvement for analytics platforms.
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Workshop 12.4:
Utilizing database optimization for high-traffic websites.
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Workshop 12.5:
Best practices for real-world applications.
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Workshop 13.1:
Utilizing database optimization tools and frameworks (SQL Profiler, Explain Plan).
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Workshop 13.2:
Implementing performance tuning with specific tools.
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Workshop 13.3:
Designing and building automated optimization scripts.
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Workshop 13.4:
Optimizing tool usage for efficient tuning.
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Workshop 13.5:
Best practices for tool implementation.
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Workshop 14.1:
Implementing performance metrics and reporting.
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Workshop 14.2:
Utilizing database performance metrics.
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Workshop 14.3:
Designing and building performance reports.
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Workshop 14.4:
Optimizing reporting for actionable insights.
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Workshop 14.5:
Best practices for reporting.
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Workshop 15.1:
Emerging trends in database optimization and tuning.
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Workshop 15.2:
Utilizing AI for automated database tuning.
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Workshop 15.3:
Implementing database optimization in cloud-native environments.
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Workshop 15.4:
Best practices for future applications.
