Flink evening at WHUG

On 3rd of July, we co-organized the 31st meeting of Warsaw Hadoop User Group! We hosted two Apache Flink committers – Kostas Klaudas(dataArtisans) and Dawid Wysakowicz from our team.

Stateful Stream Processing with Apache Flink

Kostas Kloudas gave us a high-level presentation about Apache Flink. His presentation aimed at covering the general idea and motivations of stateful stream processing. He showed how Flink enables it with its powerful set of state management features and programming APIs.

Kostas_Flink_WHUG

Looking for patterns with Flink CEP library

On presentation Dawid showed us that recently Flink Complex Event Processing (CEP) was under heavy development, introducing lots of improvements and new features. We discussed how newly introduced pattern categories like optionals, discarding and counting patterns or kleene closures expands the spectrum of possible use cases even further. Dawid presented how you can use Flink CEP library to specify and detect dynamic patterns in your real-time streaming applications and described mechanisms of underlying NFA(Non-finite automaton) that allowed those changes.

Dawid_Wysakowicz_Flink_WHUG

More theoretical and practical knowledge about Apache Flink you will find on our “Real-time Stream Processing” training provided by Dawid Wysakowicz in Warsaw on 18-19 of September 2017

Please feel free to take a look at his presentation on GetInData’s slideshare or watch video from the meeting.

Join the Warsaw Hadoop User Group!

Warsaw Hadoop User Group is one of the first group of Hadoop supporters in Europe. The main goal of the group is to popularize the subject of distributed processing of large data using open source tools belonging to Hadoop ecosystem. The WHUG is particularly interested in the practical application of these technologies in business solutions.

Are you interested in Big Data open-source technology? Sign up to WHUG and check the nearest meetup term!

WHUG meetup

SHARE THIS!

Leave a Reply

Your email address will not be published. Required fields are marked *

Blue Captcha Image
Refresh

*