Why and When Should We Consider Stream Processing Frameworks in our Solutions TEQNation 2023

What is Stream Processing ? Apache Beam ? Apache Flink? Benefits and Features? Benchmarks ? Comparison with Spring boot and learning curve

*Slides*
You can download the slides which contain valuable links for deep dive into topics from one of the following:
*SpeakerDeck* - https://bit.ly/3NnrwoL
*SlideShare* - https://bit.ly/3NmS8pX

*Session Description*
Do you find yourself bombarded with buzzwords and overwhelmed by the rapid emergence of new technologies? "Stream Processing" is a tech buzzword that has been around for some time but is still unfamiliar to many. Join this session to discover its potential in software systems. I will share insights from Apache Flink, Apache Beam, Google Dataflow, and my experiences at Bol.com (the biggest e-commerce platform in the Netherlands) as we cover:
- Stream Processing overview: main concepts and features
- Apache Beam vs. Spring Boot comparison
- Key Considerations for Using Stream Processing
- Learning strategies to navigate this evolving landscape.

*Turn Subtitle On. Sorry for the quality of the audio, it seems that the microphone was not configured correctly in the beginning.*

*Chapters*
00:00 Intro
02:40 What is Stream Processing, Event Processing & Event Driven?
04:53 Frameworks & Platforms
06:23 Basic Concepts and Patterns
25:00 Demo Time
30:00 Benefits, Drawbacks & Considerations
35:00 Use-cases for different Industries
40:00 How to start learning?

#Teqnation #StreamProcessing #Dataflow #ApacheFlink #ApacheBeam

Тэги:

#Stream_Processing #Apache_Beam #Apache_Flink #Google_Dataflow #Spring_Boot #TEQNation #Software_Architecture

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