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 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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3 weeks 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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1 month 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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1 month ago |
dzone.com | Kai Wähner
As industries continue to adopt digital transformation, the convergence of Operational Technology (OT) and Information Technology (IT) has become essential. The OT/IT Bridge is a key concept in industrial automation to connect real-time operational processes with business-oriented IT systems ensuring seamless data flow and coordination. This integration plays a critical role in the Industrial Internet of Things (IIoT).
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Nov 19, 2024 |
dzone.com | Kai Wähner
Join the DZone community and get the full member experience. Join For Free Organizations start their data streaming adoption with a single Apache Kafka cluster to deploy the first use cases. The need for group-wide data governance and security but different SLAs, latency, and infrastructure requirements introduce new Kafka clusters. Multiple Kafka clusters are the norm, not an exception. Use cases include hybrid integration, aggregation, migration, and disaster recovery.
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Virta powers 100,000+ EV charging stations using real-time #datastreaming with #ApacheKafka & Confluent Cloud. ⚡️ 45M events/hour 📉 Dynamic pricing 🔋 V2G & predictive maintenance 🌍 Scalable, sustainable infrastructure Full story 👉 https://t.co/BpWaNxmnqr #EVCharging #ESG https://t.co/nQp3WnM8JN
Stateless vs. stateful stream processing—when to use Kafka Streams or Apache Flink? ⚡️ Real-time fraud detection 🤖 AI/ML + Flink 📽️ 10-min explainer: https://t.co/oXMIXBznwa #ApacheKafka #KafkaStreams #ApacheFlink #StreamProcessing #FraudPrevention #AI #DataStreaming https://t.co/Gm4lRAwQg3
Tired of #batch + reverse #ETL pain? 🚀 Meet the #ShiftLeft Architecture: Real-time data products with #ApacheKafka, #ApacheFlink & #ApacheIceberg. Unify ops + analytics, cut costs, move faster. New blog 👇 🔗 https://t.co/I7wz9jS7bo #DataStreaming #DataMesh #ModernDataStack https://t.co/NzlE9ncb6y