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Integration

26 posts
Request Response Data Exchange with Apache Kafka vs CQRS and Event Sourcing
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  • 27.3K views
  • 10 minute read

When to use Request-Response with Apache Kafka?

How can I do request-response communication with Apache Kafka? That’s one of the most common questions I get regularly. This blog post explores when (not) to use this message exchange pattern, the differences between synchronous and asynchronous communication, the pros and cons compared to CQRS and event sourcing, and how to implement request-response within the data streaming infrastructure.
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Streaming ETL with Apache Kafka in Healthcare
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  • 3.4K views
  • 4 minute read

Streaming ETL with Apache Kafka in the Healthcare Industry

IT modernization and innovative new technologies change the healthcare industry significantly. This blog series explores how data streaming with Apache Kafka enables real-time data processing and business process automation. This is part three: Streaming ETL. Examples include Babylon Health and Bayer.
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Apache Camel vs Apache Kafka Comparison
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  • 16.3K views
  • 13 minute read

When to use Apache Camel vs. Apache Kafka?

Should I use Apache Camel or Apache Kafka for my next integration project? The question is very valid and comes up regularly. This blog post explores both open-source frameworks and explains the difference between application integration and event streaming. The comparison discusses when to use Kafka or Camel, when to combine them, when not to use them at all. A decision tree shows how you can quickly qualify out one for the other.
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Apache Kafka in the Insurance Industry
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  • 6.7K views
  • 7 minute read

Apache Kafka in the Insurance Industry

The rise of data in motion in the insurance industry is visible across all lines of business including life, healthcare, travel, vehicle, and others. Apache Kafka changes how enterprises rethink data. This blog post explores use cases and architectures for insurance-related event streaming. Real-world examples from Generali, Centene, Humana, and Tesla show innovative data integration and stream processing in real-time.  
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MQTT and Kafka for Mobility Services, Transportation and Cloud Native Microservices
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  • 2.6K views
  • 6 minute read

Apache Kafka and MQTT (Part 4 of 5) – Mobility Services and Transportation

Apache Kafka and MQTT are a perfect combination for many IoT use cases. This blog series covers the pros and cons of both technologies. Various use cases across industries, including connected vehicles, manufacturing, mobility services, and smart city are explored. The examples use different architectures, including lightweight edge scenarios, hybrid integrations, and serverless cloud solutions. This post is part four: Mobility Services and Transportation.
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A Connected World with Apache Kafka for Smart City Connected Vehicles Telco Cloud Mobility Services
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  • 3 minute read

Apache Kafka for the Connected World – Vehicles, Factories, Cities, Digital Services

The digital transformation connects the world. People, vehicles, factories, cities, digital services, and other “things” communicate with each other in real-time to provide a safe environment, efficient processes, and a fantastic user experience. This scenario only works well with data processing in real-time at scale. This blog post shares a presentation that explains why Apache Kafka plays a key role not just in one of these industries or use cases, but also to connect the different stakeholders to each other. 
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Kafka at the Edge - Use Cases and Architectures
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  • 10 minute read

Use Cases and Architectures for Kafka at the Edge

Use cases and architectures for Kafka deployments at the edge, including retail stores, cell towers, trains, small factories, restaurants… Hardware and software components to realize edge and hybrid Kafka infrastructures.
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