Ververica Training

Learn from the original creators of Apache Flink

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Why Ververica Training for Apache Flink?

Deep expertise

Our trainers are industry veterans who work alongside the original creators of Apache Flink.

Practical

We know how to help you. Our trainers work with Flink users every day, and have helped hundreds get started.

Up-to-date

Our curriculum is comprehensive, and updated for each new release of the platform.

Who is this Training for?

Internal team establishing an organization’s streaming platform

Stateful stream processing introduces new patterns for system building, and it takes time to internalize this new way of thinking. Ververica training shortens the learning curve by giving the participants hands-on experience with examples derived from real use cases.

Team building a specific solution within an organization

We can combine training with use case consulting. After a small group has completed an initial proof-of-concept with Flink is a great time to invest in training for the whole team. We can quickly bring everyone up to the same level, and at the same time, answer any questions that came up during the POC.

Consultancy planning to use Flink to attract new clients and projects

We can train consultants and evangelize our technology in the context of specific industries (e.g. banking).

NEW: What Training do we offer?

Operations Training

This course is a hands-on introduction to topics relating to the deployment and operation of Apache Flink applications. The intended audience includes developers and operations staff responsible for deploying Flink applications and maintaining Flink clusters. The presentations will focus on the core concepts involved in the Flink runtime and the principal tools available for deploying, upgrading, and monitoring Flink applications. The exercises will provide a hands-on introduction to these same topics.

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Developer Training

This course is a hands-on introduction to Apache Flink for Java and Scala developers who want to learn to build streaming applications. The first day will focus on the core concepts of distributed streaming dataflows, event time, and key-partitioned state, and the second day will go into more depth about the runtime, ecosystem, and use cases. The exercises will give you a chance to see how these concepts are reflected in the API, and understand how the pieces fit together to solve real problems.

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