Worth Reading: Stream Processing’s Hard Problems
Before we dive into why data access is a hard problem in stream processing, here is some background information. At LinkedIn, we develop and use Apache Samza as our stream processing framework, Apache Kafka as our durable pub-sub messaging pipe, and Databus (and its next generation replacement) for capturing change events from our databases. Our streams infrastructure team gets feedback from application developers across the company (and from the open source community) on scalability, reliability, usability, and other problems that they encounter in their production applications. —LinkedIn Engineering Blog
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