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blog.florimondmanca.com | ||
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www.michael-noll.com
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| | | | | In this article, perhaps the first in a mini-series, I want to explain the concepts of streams and tables in stream processing and, specifically, in Apache K... | |
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jack-vanlightly.com
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| | | | | At some point, we've all sat in an architecture meeting where someone asks, "Should this be an event? An RPC? A queue?", or "How do we tie this process together across our microservices? Should it be event-driven? Maybe a workflow orchestration?" Cue a flurry of opinions, whiteboard arrows, and vague references to sagas. Now that I work for a streaming data infra vendor, I get asked: "How do event-driven architecture, stream processing, orchestration, and the new durable execution category relate to one another?" These are deceptively broad questions, touching everything from architectural principles to practical trade-offs. To be honest, I had an instinctual understanding of how they fit together but I'd never written it down, so this series is how I see it... | |
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florimond.dev
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| | | | | It's about time you met streaming data! I'm sure you two and Apache Kafka will do great things together. | |
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www.onehouse.ai
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| | | A thorough comparison of the Apache Hudi?, Delta Lake, and Apache Iceberg? data lakehouse projects across features, community, and performance benchmarks. This includes a focus on common use cases such as change data capture (CDC) and data ingestion. | ||
