Kai Waehner

Field CTO – Author – International Speaker

Confluent

Company website

Get in touch with Kai Waehner

Tell us briefly what it is about – we will pass your message on and make the introduction personally.

I agree to the processing of my data according to the Privacy Policy.

Use cases Kai has already implemented

Digital Documentation

1 application area

Structured access to files and documents

Fleet Management

2 application areas

Fuel Management Usage Monitoring

Fraud and Loss Prevention

1 application area

Protection against counterfeiting and fraud

Solution Examples

Modern office building of the commercial bank NORD/LB with an overlaid data dashboard of the streaming platform Confluent

NORD/LB relies on Confluent to drive company-wide IT transformation

Nov 2, 2023Read more →

Modern office building of DATEV eG, whose cloud-native development is based on the streaming platform Confluent

Setting off into new galaxies: how DATEV eG uses Confluent to accelerate innovation

Oct 26, 2023Read more →

Dashboard with a data flow diagram of the e-commerce platform BestSecret, whose real-time data streams run over the streaming platform Confluent

Podcast Episodes

#74

Why Apache Kafka® and for which IIoT use cases? – Confluent Cloud, Kafka and event streaming explained simply

Confluent is the IoT tech partner for today’s episode and co-developed the Apache Kafka® standard. The standard is already used by 100,000 organizations worldwide to handle large data volumes in real-time. Looking at the word “fluent”, the goal is obvious: Efficient data flow – the data should flow and not be pushed into datalakes! We’re talking about this data hub, a toolbox that allows me to consume and process data streams openly into all systems in a flexible way. Data engineering can be simple: In this podcast, Field CTO at Confluent, Kai Waehner, explains in detail from the field how data volumes are filtered, ingested, processed and reused. In addition, topics addressed include: – Real-time data handling – The Business Impact of Data in Motion – Data streaming at customer BMW – Brownfields at customers – Functions of the data hub – Coupling of system data with IT data (SAP) – Data connection to the data hub

Sep 15, 2022