Complex Business Requirements + Lots of Data = High Cost? Not Necessarily - Here's Why
StreamNative via YouTube
Overview
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Learn how to design cost-efficient architectures for complex, data-heavy systems without compromising performance or compliance in this 35-minute conference talk. Explore real-world use cases from pricing domains in regulated industries like finance to understand how the right architectural choices can prevent complexity from driving up infrastructure and operational costs. Discover key factors that influence cost in complex data architectures and examine how Apache Pulsar's flexible streaming model unifies event ingestion and delivery, while Apache Flink's stream processing enables real-time computation with minimal overhead. Understand how RisingWave's continuous joins and ad-hoc queries facilitate efficient real-time analytics without data duplication, and gain practical design patterns for building elegant, scalable, and cost-effective streaming architectures that balance cost, complexity, and compliance requirements.
Syllabus
[Use Case] Complex Business Requirements + Lots of Data = High Cost? Not necessarily, here is why
Taught by
StreamNative