Business Process Automation and BPM Workflow Engine and Orchestration with Apache Kafka
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Apache Kafka as Workflow and Orchestration Engine

Business process automation with a workflow engine or BPM suite has existed for decades. However, using the data streaming platform Apache Kafka as the backbone of a workflow engine provides better scalability, higher availability, and simplified architecture. This blog post explores case studies across industries to show how enterprises like Salesforce or Swisscom implement stateful workflow automation and orchestration with Kafka.
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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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Streaming ETL with Apache Kafka in Healthcare
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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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