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Course Outline

Course Outline: Day 1

• Introduction to data streaming concepts

• Fundamentals of batch versus real-time processing

• Basics of event-driven architecture

• Common industry use cases

• Overview of the streaming ecosystem

Day 2

• Design patterns for streaming architecture

• Fundamentals of distributed messaging systems

• Producers and consumers

• Topics, partitions, and data flow

• Data ingestion strategies

Day 3

• Concepts and frameworks for stream processing

• Event time versus processing time

• Windowing techniques and applications

• Stateful stream processing

• Basics of fault tolerance and checkpointing

Day 4

• Data transformation within streaming pipelines

• ETL and ELT in real-time systems

• Schema management and evolution

• Stream joins and enrichment

• Introduction to cloud-based streaming services

Day 5

• Monitoring and observability in streaming systems

• Basics of security and access control

• Performance tuning and optimisation

• End-to-end pipeline design review

• Real-world use cases, such as fraud detection and IoT processing

 35 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 6500 € + VAT*

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