Apache Kafka for Data Consistency (and Real-Time Data Streaming)
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Apache Kafka for Data Consistency (and Real-Time Data Streaming)

Real-time data beats slow data in almost all use cases. But as essential is data consistency across all systems, including non-real-time legacy systems and modern request-response APIs. Apache Kafka’s most underestimated feature is the storage component based on the append-only commit log. It enables loose coupling for domain-driven design with microservices and independent data products in a data mesh. This blog post explores how Kafka enables data consistency with a real-world case study from financial services.
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Kafka versus HTTP REST API
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Request-Response with REST/HTTP vs. Data Streaming with Apache Kafka – Friends, Enemies, Frenemies?

Request-response communication with REST / HTTP is simple, well understood, and supported by most technologies, products, and SaaS cloud services. Contrarily, data streaming with Apache Kafka is a fundamental change to process data continuously. HTTP and Kafka complement each other in various ways. This post explores the architectures and use cases to leverage request-response together with data streaming in the control plane for management or in the data plane for producing and consuming events.
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Kafka in Healthcare - Open API and Omnichannel Data Streaming
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Open API and Omnichannel with Apache Kafka in Healthcare

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. Real-world examples show how traditional enterprises and startups increase efficiency, reduce cost, and improve the human experience across the healthcare value chain, including pharma, insurance, providers, retail, and manufacturing. This is part five: Open API and Omnichannel. Examples include Care.com and Invitae.
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