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In this talk we will focus on what it means to have a clean model.
That is a model not cluttered with all the latest technology trends and patterns. We'll get back to basics and focus on the all the good stuff like what is means to have low-coupling, high-cohesion, and composability. Relationships will get special attention and the data structures necessary to represent them.
Abstraction is a powerful tool but so often misunderstood and misused leading to leaky abstractions and abstractions at are unrepresentative. These unrepresentative abstractions lead to brittle models that often impact quality-of-service requirements such as maintainability, robustness, and performance.
With this grounding in place we will explore mapping application requirements onto model access patterns and consider the resulting performance implications.
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95% of performance is about clean representative models
Martin is a high-performance and low-latency specialist, with over two decades working with large scale transactional and big-data systems, in the automotive, gaming, financial, mobile, and content management domains.