Skip to content
Technologies / Data & Analytics

Apache Flink basics

Intensive introductory training on Apache Flink technology, focusing on the foundations of stream processing and practical applications of the platform. The program covers a holistic approach to building streaming applications, from basic concepts to advanced implementation patterns. The workshop combines theory with intensive hands-on experience, enabling participants to gain practical skills in designing, implementing and deploying Apache Flink-based solutions. The training uses real use cases and best practices from production projects.

Issues

  • Apache Flink

  • Stream processing

  • DataStream API

  • State Management

  • Event Time Processing

  • Windowing

  • Checkpointing

  • Table API

  • Performance Tuning

  • Cluster Management

  • Monitoring

  • Fault Tolerance

Benefits

  • Designing and implementing streaming applications in Apache Flink
  • Effectively use DataStream API and advanced features of the platform
  • Acquire competence in state management and time handling in streaming applications
  • Techniques for optimizing and monitoring Flink applications
  • Implementing production solutions
  • Strengthen troubleshooting skills in stream processing systems

Who is this training for?

Streaming application developers
Data engineers getting started with Flink
Architects of real-time processing systems
Big Data Developers
Streaming analytics specialists
ETL engineers
Big Data platform administrators

Prerequisites

  • Good knowledge of Java programming
  • Basic knowledge of data processing
  • Understanding the concept of stream processing
  • Experience in working with distributed systems

Training program

01

System architecture and components

  • Stream processing model
  • DataStream and DataSet APIs
  • Configuring the environment
  • Basic processing operations
  • Stream transformations
02

Stock operations

  • Time and event management
  • Support for delayed data
03

Advanced features

  • Complex processing patterns
  • Fault tolerance mechanisms
  • Checkpointing and savepoints
04

Table API and SQL

  • Implementation and maintenance
  • Cluster configuration
  • Monitoring and diagnostics
  • Performance optimization
  • Application scaling

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 Apache Flink basics training for?

This training is designed for professionals looking to develop skills in apache flink basics. Required level: beginner.

How long is the Apache Flink basics training?

The training lasts 4. 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.

Monika Fengler
Monika Fengler Opiekun szkolenia

Request a quote

Funding Options

Check funding options for your company

Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

Check availability
Up to 100%

National Training Fund

Up to 100% funding for employers

Learn more

Trusted by

We train teams at Poland's largest companies

ING Bank - EITT client
mBank - EITT client
PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

Interested in this training?

Contact us - we'll prepare an offer tailored to your organization's needs.

500+ experts
2500+ trainings available
ISO 9001 quality certified
Request Training
Call us +48 22 487 84 90