A practical introduction to stream processing
The training focuses on the practical aspects of implementing stream processing systems in a Big Data environment. The program combines theory with intensive hands-on workshops where participants learn about architecture, design patterns and best practices for stream processing. The workshops are conducted in the form of hands-on labs using real use cases. The classes are based on the implementation of specific business scenarios.
Issues
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Architecture of streaming systems
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Design patterns for real-time processing
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Methods of caching and controlling data flow
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Techniques for combining streams
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Retry and error handling mechanisms
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Monitoring and debugging
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Scaling strategies
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Testing streaming systems
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Performance optimization
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State management in distributed systems
Benefits
- Deepen knowledge of the architecture of stream processing systems
- Acquire practical skills in designing and implementing data pipelines
- Debugging and troubleshooting techniques for real-time systems
- Understand key design patterns used in stream processing
- Master tools and methods for optimizing the performance of streaming systems
- Gain skills to effectively test streaming solutions
Who is this training for?
Prerequisites
- Knowledge of basic programming in Java or Scala
- Experience working with databases and data processing systems
- Basic knowledge of Big Data concepts
- Ability to work in a Linux/Unix environment
Training program
Architecture of streaming systems
- Real-time data processing models
- Characteristics and requirements of streaming systems
- Differences between batch and stream processing
Basic patterns and components
- Design of stream processing pipelines
- Buffering and flow control mechanisms
- Error handling and retry mechanisms
- Monitoring and debugging data streams
Implementation of solutions
- Configuration of the processing environment
- Stream transformations and aggregations
- Techniques for linking data streams
Testing streaming systems
- Optimization and scaling
- Strategies for partitioning data
- Performance optimization techniques
Horizontal scaling mechanisms
- State management in distributed systems
Delivery Methods
Online
- Convenience of participating from anywhere
- Interactive live sessions with trainer
- Materials available for 30 days
- No travel costs
On-site
- Direct contact with trainer and group
- Intensive hands-on workshops
- Networking with other participants
- Full focus on learning
Frequently asked questions
Who is the A practical introduction to stream processing training for?
This training is designed for professionals looking to develop skills in a practical introduction to stream processing. Required level: beginner.
How long is the A practical introduction to stream processing training?
The training lasts 3. Available in online or on-site format.
Will I receive a certificate?
Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.
Can this training be conducted for a closed group?
Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.
Request a quote
Funding Options
Check funding options for your company
Development Services Database
Up to 80% funding for SMEs from EU funds
Check availabilityNational Training Fund
Up to 100% funding for employers
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We train teams at Poland's largest companies
Interested in this training?
Contact us - we'll prepare an offer tailored to your organization's needs.