Kai Wähner
Contributor at DZone
Technology Evangelist with Focus on Integration, Event Streaming, Big Data, Analytics, Machine Learning, and Cloud-Native Microservices
Articles
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1 week ago |
dzone.com | Kai Wähner
The evolution of data streaming has transformed modern business infrastructure, establishing real-time data processing as a critical asset across industries. At the forefront of this transformation, Apache Kafka and Apache Flink stand out as leading open-source frameworks that serve as the foundation for cloud services, enabling organizations to unlock the potential of real-time data.
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3 weeks ago |
dzone.com | Kai Wähner
If you ask your favorite large language model, Microsoft Fabric appears to be the ultimate solution for any data challenge you can imagine. That’s also the impression many people get from Microsoft’s sales teams. But is it really the silver bullet it’s made out to be? This article takes a closer look. The first part explores the glossy marketing and sales definition of the platform. The second part looks at Fabris's layers and deconstructs it from a more practical perspective.
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1 month ago |
dzone.com | Kai Wähner
The cloud revolution has transformed how businesses deploy, scale, and manage data streaming solutions. While Software-as-a-Service (SaaS) and Platform-as-a-Service (PaaS) cloud models are often used interchangeably in marketing, their distinctions have significant implications for operational efficiency, cost, and scalability.
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2 months ago |
dzone.com | Kai Wähner
In data-driven applications, the rise of stream processing has changed how we handle and act on data. While traditional databases, data lakes, and warehouses are effective for many batch-based use cases, they fall short in scenarios demanding low latency, scalability, and real-time decision-making. This post explores the key concepts of stateless and stateful stream processing, using Kafka Streams and Apache Flink as examples.
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2 months ago |
dzone.com | Kai Wähner
This blog explores the evolution of low-code/no-code tools, their challenges, when (not) to use visual coding, and how generative AI and data streaming with Apache Kafka and Flink are reshaping the software and data engineering landscape. Low-code/no-code tools have been praised as transformative for software development and data engineering, providing visual interfaces that democratize technology access for non-technical users.
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#StreamProcessing isn’t new—but it’s now mainstream. #ApacheKafka and #ApacheFlink enable real-time, scalable, cloud-native pipelines. What’s next? #Serverless, #GenAI, and #ApacheIceberg. Full post: https://t.co/NheQyr7XWu Where are you on the journey from batch to real time? https://t.co/Y0V0WEeifS
#AgenticAI and RAG in Regulated #FinTech? @alpianbank built a #ApacheKafka-native #cloud stack with schema governance, encryption, and AI agents powered by real-time events. Streaming-first #AI in #finance. 🔗 https://t.co/HZPtyJpfrj https://t.co/cCXwbEIcJd
How does #BMW stream real-time data from smart factories to the #cloud? With #ApacheKafka as the backbone—connecting #IoT, PLCs, and robots to MES and ERP systems. Use case + video: https://t.co/GR8stEXEmP Where do you see the biggest value in edge-to-cloud #DataStreaming? https://t.co/6y7tcvtGSM