Technologies / Data & Analytics

Real-Time Analytics - Apache Kafka, Flink and Stream Processing

Training on building advanced real-time analytics pipelines that deliver immediate business insights using enterprise-wide stream processing. The program includes practical application of Apache Flink, Kafka Streams and complex event processing techniques. Participants gain hands-on experience in implementing a modern streaming architecture. The stream-first methodology ensures a complete understanding of real-time data processing principles.

Issues

Stream processing
Apache Flink
Kafka Streams
Real-time analytics
Processing of complex events
Time windows
State management
Event time processing
Fault tolerance
Performance tuning
Scalability patterns
Monitoring and alerting

This training is part of the path:

Data Engineer

Benefits

The ability to produce immediate business insights, enabling real-time decision-making and achieving significant competitive advantage
They will develop proactive decision-making skills through the use of advanced predictive analytics based on data streams
They will achieve a market advantage by being able to respond much faster to dynamic changes in the business environment
They will improve the operational efficiency of the organization by implementing advanced real-time automated monitoring systems
They will significantly improve the customer experience by implementing personalization systems that respond immediately to user behavior
They will optimize operational costs through efficient use of resources based on detailed real-time metrics
They will discover new innovation opportunities by developing business models fully based on processing data streams

Who is this training for?

Data engineers

Analysis teams

Technical architects

BI Developers

Platform engineers

Real-time systems specialists

Data architects

Prerequisites

Participants should have solid experience in the data engineering field and a working knowledge of distributed systems
Familiarity with the Apache Kafka platform and a deep understanding of message streaming concepts is essential
Advanced skills in working with big data tools and popular analytical frameworks are required
Basic knowledge of real-time systems architecture and practical performance optimization techniques are welcome

Training program

Batch vs stream
Apache Kafka basics
Flink architecture
Use cases

Streaming ingesta
Processing patterns
Time window strategies
State management

Real-time dashboards
Alert systems
ML on streams
Processing of complex events

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 Real-Time Analytics - Apache Kafka, Flink and Stream Processing training for?

This training is designed for professionals looking to develop skills in real-time analytics - apache kafka, flink and stream processing. Required level: advanced.

How long is the Real-Time Analytics - Apache Kafka, Flink and 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.