Apache Kafka® is an open source distributed streaming platform that used for building real-time data pipelines and streaming apps. It is horizontally scalable, fault-tolerant, wicked fast, and runs in production in thousands of companies.
Check out some of the awesome companies running Kafka and their use cases here: https://kafka.apache.org/powered-by.
Apache Kafka®, Kafka, and associated open source project names are trademarks of the Apache Software Foundation.
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Copyright © Confluent, Inc. 2016 - 2020
Confluent, founded by the original creators of Apache Kafka®, pioneered the enterprise-ready event streaming platform. With Confluent, organizations benefit from the first event streaming platform built for the enterprise with the ease-of-use, scalability, security and flexibility required by the most discerning global companies to run their business in real time. Companies leading their respective industries have realized success with this new platform paradigm to transform their architectures to streaming from batch processing, spanning on-premises and multi-cloud environments. Backed by Benchmark, Index Ventures and Sequoia, Confluent is headquartered in Palo Alto and London with offices globally. To learn more, please visit www.confluent.io. Download Confluent Platform at www.confluent.io/download.
Kai Atenhan is a real insurance expert in the field of vehicle insurance and share this expertise as a product owners. After completing his dual studies at DEVK Versicherungen in 2013, his passion is innovation within the insurance products. Among other things, he wrote his bachelor’s thesis on the telematics insurance value chain. Since mid-2018, he has been working as product owner for the InsureTech freeyou.
How to Build Real Time Price Adjustments in Vehicle Insurance on Streams
10:30 am - 11:10 am, Stream Processing,
Let’s talk about risks and pricing in insurance: From an insurance company the customer expects a fair (and affordable) tariff. How can we offer this, especially if the tariff model is very static? With KSQL, we are building the entire Processing Piplines directly in Kafka. With each deal we can ... Read More