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Data Engineers
e.g. Apache Flink, Apache Kafka, Elasticsearch
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Real-Time Stream Processing

This two-day course teaches data engineers how to process unbounded streams of data in real-time using popular open-source frameworks.


After the training participants will be able to independently implement real-time big data processing scenarios with the help of Apache Kafka and Apache Flink.

They will have knowledge and understanding of the inner workings of these most widely-used open-source streaming technologies.

Course agenda*

Day 1

Introduction to Apache Kafka and Flink

  • Real-time data collection with Apache Kafka

    • Key concepts of log-based approach
    • Daemons and cluster infrastructure
    • Hands-on exercise: Interacting with a Kafka Cluster to produce and consume messages with CLI scripts
  • Interactive reporting and data exploration with Elasticsearch

    • A search engine as a core of data-driven decisions
    • Live demo: visualizing continuously arriving data with Kibana
  • Introduction to Apache Flink

    • Constructing DataStreams with Flink APIs
    • Hands-on exercises: Applying simple filters to a stream of events and running jobs in YARN cluster
    • Grouping data into windows based on different notions of time
    • Hands-on exercises: Calculating user session statistics
    • Connecting to the external world
    • Hands-on exercises: Reading events from Kafka and writing statistics to Elasticsearch for real-time dashboards in Kibana
Day 2

Apache Flink Advanced

  • Deep dive into Apache Flink

    • Advanced time handling, when out-of-the-box solutions are not enough
    • Daemons and cluster infrastructure, overview of deployment modes e.g. -YARN, Mesos, Docker, Standalone
    • Accessing fault-tolerant state and how it is checkpointed
    • Hands-on exercises: Using low-level functions and state for constructing complex time-based scenarios
    • Advantages of relational approach with StreamSQL
    • Hands-on exercises: Querying streams with SQL language
    • Early alerting based on a sequence of events with Flink CEP library
    • Hands-on exercises: Writing pattern sequences and converting matches to alerts
  • Comparison of other streaming frameworks like Spark Streaming, Kafka Streams, Storm

    • Daemons and cluster infrastructure
    • How they implement fault-tolerance
    • Feature sets
* GetInData reserves the right to make any changes and adjustments to the presented agenda.


Our workshops and training programmes are organised by experienced instructors with many years' real-life Big Data experience. Get to know our team!

More information

Training materials will be made available to all participants in PDF format.

Contact person

Klaudia Wachnio
Piotr Krewski
+48 888 185 137


Completed in half the estimated time and with a fivefold improvement on data collection goals, the robust product has exponentially increased processing capabilities. GetInData’s in-depth engagement, reliability, and broad industry knowledge enabled seamless project execution and implementation.

Wojciech Ptak

GetInData had been supporting us in building production Big Data infrastructure and implementing real-time applications that process large streams of data. In light of our successful cooperation with GetInData, their unique experience and the quality of work delivered, we recommend the company as a Big Data vendor.

Miłosz Balus

GetInData delivered a robust mechanism that met our requirements. Their involvement allowed us to add a feature to our product, despite not having the required developer capacity in-house.

Stephan Ewen

Their consistent communication and responsiveness enabled GetInData to drive the project forward. They possess comprehensive knowledge of the relevant technologies and have an intuitive understanding of business needs and requirements. Customers can expect a partner that is open to feedback.

Wilson Yu Cao
Development Team Manager

We sincerely recommend GetInData as a Big Data training provider! The trainer is a very experienced practitioner and he gave us a lot of tips regarding production deployments, possible issues as well as good practices that are invaluable for a Hadoop administrator.

Mariusz Popko
Platform Manager

The engineers and administrators at GetInData are world-class experts. They have proven experience in many open-source technologies such as Hadoop, Spark, Kafka and Flink for implementing batch and real-time pipelines.

Kostas Tzoumas

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