Database Administration · PPL

Database Performance Tuning Certification

An advanced program designed to develop practical skills in database performance analysis, query optimization, indexing, monitoring, troubleshooting, and scalable database management.

  • 4 DaysDuration
  • PPLAccredited
  • 3 LanguagesArabic · English · Hindi
  • ₹14,999.00 Per delegate

This course is accredited by PPL

This is for all ppl accredited courses
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— The journey

Course Outline

What the programme covers, module by module.

Module 1: Introduction to Database Performance Tuning

  • Performance tuning fundamentals
  • Database performance lifecycle
  • Performance objectives
  • Response time
  • Throughput
  • Resource utilization

Module 2: Database Architecture & Performance

  • Database architecture
  • Storage engine concepts
  • Memory architecture
  • Query processing
  • Transaction processing
  • Performance components

Module 3: Establishing Performance Baselines

  • Baseline concepts
  • Performance metrics
  • Normal workload patterns
  • Historical comparison
  • Benchmarking
  • Performance thresholds

Module 4: Database Monitoring

  • Monitoring fundamentals
  • CPU utilization
  • Memory utilization
  • Disk activity
  • Network performance
  • Database metrics

Module 5: Identifying Performance Bottlenecks

  • CPU bottlenecks
  • Memory bottlenecks
  • I/O bottlenecks
  • Query bottlenecks
  • Locking issues
  • Bottleneck analysis

Module 6: SQL Query Performance Fundamentals

  • Query lifecycle
  • SQL processing
  • Query cost
  • Resource consumption
  • Query efficiency
  • Performance indicators

Module 7: Query Execution Plans

  • Execution plans
  • Query operators
  • Estimated plans
  • Actual plans
  • Cost analysis
  • Plan interpretation

Module 8: Query Optimization Techniques

  • Efficient SQL
  • Predicate optimization
  • Join optimization
  • Subquery optimization
  • Reducing data scans
  • Query rewriting

Module 9: Advanced SQL Optimization

  • Complex queries
  • CTE performance
  • Correlated subqueries
  • Aggregation optimization
  • Sorting optimization
  • Set-based processing

Module 10: Indexing Fundamentals

  • Index concepts
  • Index structures
  • Clustered indexes
  • Non-clustered indexes
  • Composite indexes
  • Index selection

Module 11: Advanced Indexing Strategies

  • Covering indexes
  • Filtered indexes
  • Index ordering
  • Selectivity
  • Index intersection
  • Index design

Module 12: Index Maintenance

  • Index fragmentation
  • Rebuilding indexes
  • Reorganizing indexes
  • Unused indexes
  • Duplicate indexes
  • Index monitoring

Module 13: Database Statistics

  • Optimizer statistics
  • Data distribution
  • Cardinality estimation
  • Statistics updates
  • Outdated statistics
  • Query performance impact

Module 14: Query Optimizer

  • Optimizer fundamentals
  • Cost-based optimization
  • Access paths
  • Join selection
  • Cardinality estimates
  • Optimization decisions

Module 15: Memory Performance Tuning

  • Database memory
  • Buffer pools
  • Cache management
  • Memory allocation
  • Memory pressure
  • Memory monitoring

Module 16: Disk & Storage Optimization

  • Storage architecture
  • Disk latency
  • Read/write performance
  • Data files
  • Log files
  • Storage configuration

Module 17: I/O Performance Tuning

  • Database I/O
  • Sequential I/O
  • Random I/O
  • I/O latency
  • I/O monitoring
  • Reducing disk activity

Module 18: Transaction Performance

  • Transactions
  • Commit operations
  • Rollbacks
  • Transaction duration
  • Transaction logs
  • Transaction optimization

Module 19: Locking & Blocking

  • Database locks
  • Lock types
  • Blocking
  • Lock escalation
  • Long-running transactions
  • Blocking analysis

Module 20: Deadlock Analysis & Prevention

  • Deadlock concepts
  • Deadlock detection
  • Deadlock graphs
  • Resource conflicts
  • Prevention techniques
  • Transaction design

Module 21: Concurrency Optimization

  • Concurrent workloads
  • Isolation levels
  • Transaction conflicts
  • Optimistic concurrency
  • Pessimistic concurrency
  • Throughput optimization

Module 22: Partitioning Strategies

  • Table partitioning
  • Partition keys
  • Range partitioning
  • List partitioning
  • Partition pruning
  • Performance benefits

Module 23: Caching Strategies

  • Database caching
  • Query caching concepts
  • Buffer caching
  • Application caching
  • Cache effectiveness
  • Cache invalidation

Module 24: Stored Procedure Performance

  • Stored procedures
  • Execution plans
  • Parameter handling
  • Procedure optimization
  • Recompilation concepts
  • Performance analysis

Module 25: Temporary Objects & Intermediate Data

  • Temporary tables
  • Table variables
  • Common table expressions
  • Intermediate results
  • Memory usage
  • Performance considerations

Module 26: Large Database Performance

  • Large tables
  • High-volume queries
  • Data archiving
  • Partition management
  • Batch processing
  • Scalability strategies

Module 27: Workload Analysis & Capacity Planning

  • Workload characteristics
  • Peak workloads
  • Resource trends
  • Capacity requirements
  • Growth forecasting
  • Scalability planning

Module 28: Performance Troubleshooting

  • Troubleshooting methodology
  • Slow queries
  • Resource contention
  • Performance regressions
  • Root cause analysis
  • Corrective actions

Module 29: Performance Testing & Benchmarking

  • Performance testing
  • Load testing
  • Stress testing
  • Benchmark design
  • Performance comparison
  • Results analysis

Module 30: Database Performance Optimization Workshop

  • Performance baseline analysis
  • Slow query identification
  • Execution plan analysis
  • Index optimization
  • Bottleneck troubleshooting
  • Performance improvement validation
— 01.2 · Is it right for you?

Who it's for & what's included

Pick a delivery method to see exactly who it suits and everything you receive.

Who it's for

Classroom

Best for learners who want face-to-face tuition and to network with peers in person.

What's included

Everything you get

  • Live instructor on-site
  • Printed workbook & materials
  • Group exercises & case studies
Who it's for

Online Instructor-Led

Best for learners who want a live instructor and a fixed schedule, without the travel.

What's included

Everything you get

  • Live instructor via video call
  • Digital workbook & resources
  • Session recordings
Who it's for

Self-Paced

Best for self-motivated learners who need maximum flexibility around work and life.

What's included

Everything you get

  • On-demand video lessons
  • Interactive quizzes
  • 24/7 access on any device
— What you will master

Course Objectives

01

Understand database architecture and factors affecting database performance.

02

Establish performance baselines and identify database bottlenecks.

03

Analyze query execution plans and optimize inefficient SQL queries.

04

Design and maintain effective indexing strategies.

05

Optimize memory, storage, I/O, and transaction performance.

06

Diagnose locking, blocking, deadlocks, and concurrency problems.

07

Apply partitioning, caching, and workload optimization techniques.

08

Perform systematic database performance monitoring, testing, and troubleshooting.

— Questions answered

Frequently Asked Questions

What is Database Performance Tuning?
Database performance tuning involves analyzing and optimizing queries, indexes, memory, storage, transactions, and database configurations to improve response times and overall efficiency.
Who should attend this course?
The course is suitable for database administrators, database engineers, SQL developers, backend developers, technical professionals, and working professionals responsible for database performance.
Do I need previous database experience?
Yes. A working knowledge of databases and SQL is recommended because the program covers advanced optimization, monitoring, indexing, and troubleshooting techniques.
Which performance areas are covered?
The course covers SQL optimization, execution plans, indexing, statistics, memory, storage, I/O, transactions, locking, deadlocks, partitioning, caching, workload analysis, and benchmarking.
What practical skills will I develop?
You will develop skills in diagnosing database bottlenecks, optimizing SQL queries, analyzing execution plans, improving indexes, managing database resources, and troubleshooting performance problems.
— Trusted by learners

What our delegates say

★★★★★

"The structure, the practice exams, the instructor — all top tier. Passed first try."

AS
Aarti SharmaSenior Project Manager · TCS
★★★★★

"Best training I have attended. The content is exactly what modern projects need."

JD
James DonovanProgramme Director · Capgemini
★★★★★

"24/7 support actually means 24/7 — got help on my mock exam at 2am. Worth every dollar."

MO
Maya OkaforPMO Lead · Standard Bank

★ 4.8 / 5 from 12,000+ verified learner reviews on Trustpilot & Google.

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