AI & Data

Apache Kafka Training

The “Apache Kafka” training is an intensive 2–3 day workshop (80% practice, 20% theory) that will comprehensively introduce you to streaming and real-time data integration with Apache Kafka.

Duration
6h
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Who it's for

Ideal for teams that…

1 Programmers and data engineers implementing event-driven systems and stream processing.
2 Administrators and DevOps responsible for maintaining and scaling communication platforms.
3 Analysts, solution architects, and consultants deploying Big Data and integration solutions.
Outcomes after the program

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

✓

Understand Apache Kafka architecture and the role of streaming in modern IT systems

✓

Design and run a Kafka cluster, manage security and monitoring

✓

Gain hands-on programming skills (producer, consumer, offset handling) in Java or Python

✓

Integrate Kafka with other systems, automate processes, and ensure high availability and performance

✓

Use Kafka Streams and Confluent Platform for enterprise deployments

Program · 3 modules

What we actually do

M01
Day 1: Fundamentals and Architecture of Apache Kafka
  • · Publish–subscribe systems and stream processing concepts
  • · Role of Apache Kafka in the Big Data ecosystem vs classic queues
  • · Message brokers: queues and pub/sub model
  • · Producer types: synchronous vs asynchronous sending
  • · Delivery guarantees in Kafka
  • · Typical Kafka use cases: ETL, system integration, monitoring
  • · Core concepts: broker, topic, partition, producer, consumer, Zookeeper
  • · Internal mechanisms: durability, scalability, consistency, high availability
  • · Partitioning, rebalancing, and replication
  • · Architecture from developer and administrator perspectives
  • · High availability with MirrorMaker and cross-cluster replication
M02
Day 2: Working with Apache Kafka – Programming, Administration, and Security
  • · Installing Kafka and Zookeeper locally and in the cloud
  • · Configuration, security policies, administration tools, diagnostics
  • · Managing topics, partitions, and replication (CLI and GUI)
  • · Hardware and system considerations for performance
  • · Creating producers and consumers in Java and Python
  • · Sending, receiving, and transforming streaming data
  • · Offset management, consumer groups, and load balancing
  • · Encrypting communication with SSL/TLS
  • · Authentication using SASL and Kerberos
  • · Access control with ACLs at topic and cluster level
  • · Monitoring with Kafka Manager, Prometheus, and Grafana
M03
Day 3: Advanced Kafka in Enterprise Architectures
  • · Integrating Kafka with external systems (Kafka Connect, JDBC, REST, S3)
  • · Kafka Streams: transformations, joins, windowing
  • · Kafka in microservices and event-driven architectures
  • · Backup strategies: manual and automated tools
  • · Cluster expansion and partition optimization
  • · Safe configuration changes and retention strategies
  • · Backup, recovery, and disaster scenarios
  • · Real-world case studies, challenges, and solutions
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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