Skip to content

Introducing Ververica’s New Brand Identity!

Read more

Continuously Improving Apache Flink Training


by

Apache Flink is one of the fastest-evolving open source projects, so we’re continuously improving our Apache Flink training courses to keep pace. There are usually three significant Apache Flink updates a year, and we have to keep the following four, in-depth training courses up to date: 

      • Apache Flink Developer Training - a comprehensive introduction to Flink development

      • Advanced Apache Flink Development & Troubleshooting - a deep dive into Apache Flink runtime and operations

      • Self-guided Training Materials - online training materials for independent learners

      • Bespoke Apache Flink Training Courses - custom courses held for entire development teams

Since we work alongside many of Flink’s core developers here, we’re able to update our Flink training courses within a few weeks of new Apache Flink releases. 

In addition to recently updating our courses for the Flink 1.14 release, we also modified our course structure and content in order to improve the remote training experience for students and instructors. With so much of peoples’ time now spent in online meetings due to COVID-related remote employment trends, we’ve made an effort to reduce “Zoom Fatigue.”

christopher-gower-m_HRfLhgABo-unsplash;Photo by Christopher Gower on Unsplash

 

Reducing “Zoom Fatigue” in On-line Training

Flink is a large and complex piece of software, and there’s a lot of information to take in during our courses. Our challenge was to reduce the length of online lectures, to reduce fatigue, and still impart all the important learnings Flink training students require. 

 

Instructor-led Hard Stuff, Self-guided Easy Stuff

The big change we made was to mix instructor-led online sessions with new, self-guided training lessons to be done between lecture sessions.

Instructor-led sessions -These cover core concepts and the most frequently misunderstood parts of Flink to make sure trainees are able to climb the steepest parts of the Flink learning curve. 

Self-guided lessons - These include additional reading and exercises to be done between classes. The lessons cover simpler Flink concepts and API usage, as well as reinforcing best practices learned in lectures.

The new structure has enabled us to reduce the time trainees spend in lectures by 33% — and still ensure trainees are able to productively build Flink applications on their own by the end of training. 

We’ve seen that shortening the lectures while pushing details out into self-paced reading and exercises is making it easier for trainees to see the forest for the trees. The new structure is also leading to livelier online sessions with trainees coming back refreshed and interested in discussing their learnings from the self-paced materials.

 

We hope to see you in class!

To learn more about our Apache Flink training course content and to register, click through the links below for our upcoming training classes. If you develop training courses, we hope the experience we’ve shared here helps, and we’d love to hear some of your training course development practices — let us know what you think.

 

 

David Anderson
Article by:

David Anderson

Comments

Our Latest Blogs

Announcing Ververica Platform 2.7 for Apache Flink® 1.15 featured image
by Daisy Tsang July 12, 2022

Announcing Ververica Platform 2.7 for Apache Flink® 1.15

The latest minor release includes full support for Flink 1.15, several improvements to the user experience, and a brand new look!
Read More
Introducing Ververica’s New Brand Identity featured image
by Alexander Walden June 21, 2022

Introducing Ververica’s New Brand Identity

Today we are extremely excited to introduce our new visual brand identity for Ververica and our products, such as Ververica Platform! This has been in the works for many months, and a project we...
Read More
Monitoring Large-Scale Apache Flink Applications, Part 2: Metrics for Troubleshooting featured image
by Nico Kruber May 31, 2022

Monitoring Large-Scale Apache Flink Applications, Part 2: Metrics for Troubleshooting

The previous article in this series focused on continuous application monitoring and presented the most useful metrics from our point of view. However, Flink’s metrics system offers a lot more, and...
Read More