AWS Summit, Berlin, February 27th, 2019
Serverless is not just functions! The same approach can be used for different use cases, such as building batch or real-time analytics powered by fully-managed machine learning service. Extracting insights and actionable information from data requires a broad array of technology that can work with data in an efficient, scalable, and cost-effective way. In this session, we’ll implement step-by-step a serverless analytics platform that can process static content (such as files) and real-time data (such as video, audio, application logs, website clickstreams, and IoT telemetry), enrich data using API-driven machine learning services, query data instantly, and build visualizations to perform ad-hoc analysis.