All posts tagged: Confluent

Kafka Summit London 2024

Onlangs bezocht ik samen met mijn collega’s Doreen Scheepens en Jacco van Bavel de Kafka Summit 2024 in Londen. Voor mij was het de eerste keer dat ik zakelijk met de trein reisde, en ik moet zeggen dat het me niet tegenviel. Hoewel ik vlak bij Schiphol woon, was de ‘van-deur-tot-deur’ reistijd naar Londen voor mij niet veel langer, maar de treinreis was zeker comfortabeler dan het vliegtuig. Het enige punt ter verbetering voor de volgende keer is om de vroege, rechtstreekse trein te verkiezen boven een latere trein met overstap in Brussel: bij vertraging loop je dan in ieder geval niet het risico om de aansluiting te missen en twee uur extra op een Brussels station te moeten doorbrengen!

Milco NumanKafka Summit London 2024
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Kafka Streaming – First Gulp

After setting up the environment, it is now time to simulate the beer ratings flowing in. As explained, I will start off several generators simultaneously. To generate some (intended) data skew away from the average, several generators will have the same structural event definition, however they will be different in the combination of users, beers and ratings upper and lower bounds. Of course this is also based on my personal preference – who said my demonstration scenario should be fair?

Milco NumanKafka Streaming – First Gulp
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Kafka Streaming – Setting Up

Introduction

In this blog, I am going to zoom into KSQL and the opportunities it offers for manipulating streaming data in Kafka, by merely using SQL-like statements. One of the neat things about the Confluent Kafka platform, is that it provides additional utilities on top of the core Kafka tools. One of these utilities is the ksql-datagen, which allows users to generate random data based on a simple schema definition in Apache Avro.

Milco NumanKafka Streaming – Setting Up
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Kafka streaming

Introduction

For a long time I have been interested in Apache Kafka and its applications. Unfortunately, forced by circumstances, work and other personal endevours, I had not been able to really dive deeper into the matters until Spring 2019. In April I have finally finished the Udemy course “Apache Kafka for Beginners“.
At work, my exposure to Kafka had only been limited, as we were (ultimately) publishing messages onto a Kafka topic using Oracle Service Bus. However, this was actually a Java-built integration, as we wer just pushing the messages onto a JMS queue, which had a MDB listening that propagated the messages to the Kafka cluster.

After completing the first training I got interested, especially in the role of Kafka in real-time event systems and I decided to take another course on Kafka Streams. I was a bit disappointed that this specific course focussed on the Java development quite heavily, and as an exception I decided to abandon the course uncompleted. During one of the Kafka Meetups, I found out that Confluent was actually offering a very interesting alternative to programming the Kafka Streams API in Java, viz. KSQL.

Milco NumanKafka streaming
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