Come escape this May with Angelo Malatacca and David Webster as we introduce and chat with three fantastic speakers, who will be talking about everything from Solution Architecture, Strategy and Machine Learning.
Talk 1: When event-driven systems meet CSV reports
Event-driven architectures come with many benefits. But in the end, the customer asks for a CSV report. An aggregated snapshot of all events. It turns out that AWS provides all the building blocks to turn any event stream into a CSV report. In this talk, you learn to combine SNS, Kinesis Firehose, S3, Step Functions, and Athena to generate CSV reports.
Speaker: Michael Wittig, AWS Community Hero and co-founder of widdix.net
Talk 2: Getting started with Amazon SageMaker
Amazon SageMaker helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML. SageMaker offers tools for every step of ML development, including labeling, data preparation, feature engineering, statistical bias detection, training, tuning, monitoring, and workflows. In this session, learn how to get started quickly with SageMaker by understanding the different environments it uses, as well as how to automatically do Machine Learning starting from tabular data with SageMaker AutoPilot.
Speaker: Davide Gallitelli, Machine Learning Specialist Solutions Architect at Amazon Web Services (AWS)
Talk 3: Serverless and containers – what’s possible today?
In this developer focused talk, we will learn about various ways to run containers on AWS without maintaining servers. There will be a focus on the capabilities of running Docker images on Lambda and several demo’s showing what kind of cool and unique solutions you can build with this. By the end of the presentation, you will have a good understanding of how you can pick the best AWS service to build your next serverless application!
Speaker: Marek Kuczyński, Strategic Accounts Solutions Architect at Amazon Web Services (AWS)