AWS Summit Singapore 2019 | Big Data Analytics Architectural Patterns and Best Practices
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We discuss architectural principles that simplify big data analytics. We’ll apply these principles to various stages of big data processing: collect, store, process, analyse, and visualise. We’ll discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architectures, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.

Speaker: Renee Lo, Head of Big Data, Analytics, and AI, ASEAN, AWS
Customer Speaker: Natalia Kozyura, Head of Innovation Center, FWD Group

Access the slide: https://www.slideshare.net/AWSSummits/aws-summit-singapore-2019-big-data-analytics-architectural-patterns-and-best-practices

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