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Domain Driven Design

4 posts
Apache Kafka for Data Consistency (and Real-Time Data Streaming)
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  • 6 minute read

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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Decentralized Data Mesh with Data Streaming in Financial Services and Banking
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  • 5 minute read

Decentralized Data Mesh with Data Streaming in Financial Services

Digital transformation requires agility and fast time to market as critical factors for success in any enterprise. The decentralization with a data mesh separates applications and business units into independent domains. Data sharing in real-time with data streaming helps to provide information in the proper context to the correct application at the right time. This blog post explores a case study from the financial services sector where a data mesh was built across countries for loosely coupled data sharing but standardized enterprise-wide data governance.
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Request Response Data Exchange with Apache Kafka vs CQRS and Event Sourcing
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  • 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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Stream Exchange for Data Sharing with Apache Kafka in a Data Mesh
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  • 10 minute read

Streaming Data Exchange with Kafka and a Data Mesh in Motion

Data Mesh is a new architecture paradigm that gets a lot of buzzes these days. This blog post looks into this principle deeper to explore why no single technology is the perfect fit to build a  Data Mesh. Examples show why an open and scalable decentralized real-time platform like Apache Kafka is often the heart of the Data Mesh infrastructure, complemented by many other data platforms to solve business problems.
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