AI & Data

Stream Processing Training in Big Data Environments

An intensive, practical course on stream data processing designed for IT professionals who want to master advanced techniques of handling Big Data streams.

Duration
6h
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Who it's for

Ideal for teams that…

1 Software engineers working with data processing
2 Big Data system architects
3 Python developers seeking to expand skills in stream processing
4 Data analysts interested in modern information processing techniques
5 Professionals in finance, telecommunications, and e-commerce, where real-time data processing is essential
Outcomes after the program

Hands-on AI and data analytics workshops — built around your team's real cases.

✓

Advanced real-time stream data processing techniques

✓

Practical use of streaming tools in Big Data environments

✓

Designing scalable and efficient streaming solutions

✓

Implementing advanced stream processing algorithms with Python

Program · 3 modules

What we actually do

M01
Day 1: Introduction to Stream Processing
  • · Characteristics and specifics of stream data processing
  • · Key challenges and paradigms in stream processing
  • · Comparison of different approaches to stream handling
  • · Overview of streaming libraries: Apache Kafka, Apache Flink, Apache Spark Streaming
  • · Setting up a development environment for stream processing
  • · Installing and configuring selected tools
  • · Creating a simple stream processing system
  • · Implementing basic stream operations
  • · Handling data sources and transformations
M02
Day 2: Advanced Stream Processing Techniques
  • · Design principles for distributed stream processing systems
  • · Partitioning and scaling strategies
  • · Ensuring reliability and resilience
  • · Advanced transformation techniques
  • · Aggregations and stateful stream operations
  • · Handling delays and early/late events
  • · Implementing complex business scenarios
M03
Day 3: Practical Applications and Projects
  • · Analysis of real-world stream processing scenarios
  • · Designing mini business projects
  • · Solving stream processing challenges
  • · Stream performance monitoring techniques
  • · Resource optimization strategies
  • · Building a complete stream processing system
  • · Presentation and discussion of solutions
  • · Expert feedback
Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.
How we work

From brief to retro in 30 days.

01

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

02

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

03

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

04

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

✓Quote within 48h of the brief
✓First session within 30 days
✓Pilot before the full decision
✓VAT invoice, payment in instalments possible

Ochrona antyspamowa (Cloudflare Turnstile) zostanie aktywowana po wpięciu klucza.

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