Professional training – Databases
PostgreSQL Performance Tuning
Get confident with PostgreSQL Performance Tuning in 6 hours: focus on EXPLAIN ANALYZE, Planer-Statistiken and Speicherparameter, live with a trainer, online or on-site.
- Duration
- 6 hours, one session
- Level
- Expert
- Format
- Online or on-site
- Language
- German or English
- Certificate
- Certificate of attendance
Overview
“PostgreSQL Performance Tuning” is designed for roles such as Database administrators and system engineers and Software developers and backend teams. In 6 hours you work your way through EXPLAIN ANALYZE, Planer-Statistiken and Speicherparameter in a structured way – with plenty of practice and time for your questions.
Databases hold the data that business processes depend on. Whether relational systems such as SQL Server and PostgreSQL or NoSQL solutions such as MongoDB, Redis and Neo4j, those who design them cleanly, query them efficiently and run them reliably avoid costly outages and bottlenecks. Our courses give developers, analysts and administrators exactly the knowledge they need in daily work. Each course lasts one day, takes place online or on site, and is built around exercises in a provided database environment with realistic sample data, so you can apply what you learn immediately.
The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.
Focus areas of the course
Who is this course for?
- Database administrators and system engineers
- Software developers and backend teams
- Data analysts and BI staff
- IT architects and technical project leads
What you will be able to do
- You know the key topics of PostgreSQL Performance Tuning – EXPLAIN ANALYZE, Planer-Statistiken, Speicherparameter, Indexe und Bloat, Connection Pooling mit PgBouncer and Lastanalyse – and can apply them in practice.
- You explain the concepts of PostgreSQL Performance Tuning and choose suitable structures.
- You write queries and changes confidently and traceably.
- You identify performance problems and derive targeted measures.
- You protect data and plan backup and recovery for PostgreSQL Performance Tuning.
Course outline
Module 1 Fundamentals and architecture of PostgreSQL Performance Tuning
- Positioning PostgreSQL Performance Tuning and typical use cases
- Data model, storage and architectural building blocks
- Installation, tools and first connection
- Differences from related database systems
Module 2 Focus areas: PostgreSQL Performance Tuning
- EXPLAIN ANALYZE
- Planer-Statistiken
- Speicherparameter
- Indexe und Bloat
- Connection Pooling mit PgBouncer
- Lastanalyse
Module 3 Hands-on: creating, querying and changing data
- Defining structures and data types sensibly
- Writing queries and verifying results
- Changing data, transactions and consistency
- Recognizing and avoiding typical sources of error
Module 4 Performance, security and operations
- Reading and evaluating indexes and execution plans
- Assigning users, roles and permissions
- Backup, restore and high availability
- Monitoring and everyday maintenance tasks
Module 5 Use in projects and transfer
- Making design decisions for your own project
- Connecting applications and interfaces
- Do's and don'ts from project practice with PostgreSQL Performance Tuning
- Further topics and learning paths
Module 6 Transfer to your daily work
- Exercise based on a realistic case
- Typical mistakes and how to avoid them
- Checklist and templates to take away
- Open questions, outlook and resources for further learning
Prerequisites
General IT understanding is enough for introductory courses. For advanced and administration courses we expect SQL basics or experience with the respective system. Solid hands-on experience with the topic is expected.
Technical requirements
Laptop with a current browser; we provide the database environment with sample data and client tools.
Dates & locations
For every location we suggest a date roughly four weeks ahead. Your preferred date is always possible.
- Munich Tue, 15 December 2026 6 hrs Request
- Salzburg Fri, 11 December 2026 6 hrs Request
- Berlin Mon, 14 December 2026 6 hrs Request
- Augsburg Fri, 11 December 2026 6 hrs Request
- Hanover Mon, 14 December 2026 6 hrs Request
- Bremen Wed, 16 December 2026 6 hrs Request
- Stuttgart Wed, 16 December 2026 6 hrs Request
- Kaiserslautern Wed, 16 December 2026 6 hrs Request
- Online Thu, 10 December 2026 6 hrs Request
Frequently asked questions
Do we work with real data in PostgreSQL Performance Tuning?
We use realistic, fully synthetic sample data, so you can practice close to real life without data protection risks. For group bookings we can add case studies from your industry, without needing any access to your production data.
Which role is PostgreSQL Performance Tuning suited for?
Depending on its focus, for developers, administrators or analysts. The focus topics show whether the course leans towards queries and design or towards operations and security. If you are unsure, we advise you beforehand on the right starting level.
How much does “PostgreSQL Performance Tuning” cost?
The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 6 hours of live training with a trainer, course materials, a lab environment and a certificate of attendance.
Can I suggest my own date?
Yes. For every location we suggest a date roughly four weeks ahead. In the request form you can always describe your preferred date or period in free text – we check availability and get back to you within one working day.
Is the course online or on-site?
Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run the course exclusively for your team.
Can the course be tailored to our team?
Yes. Tailor-made courses cost approx. €4,500 more, depending on the topic and by arrangement. We agree content, examples and exercises with you in advance.