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Azure Machine Learning: Applying Software Engineering to ML
Azure Machine Learning is a platform for developing and deploying your machine learning models on Azure. We will look at the life cycle of ML projects: from data, to model, to consumption. This will include Automated Machine Learning capabilities.
Driving Power BI automation through monitoring
Monitoring for Power BI is one of the things that tends to be an afterthought. Apart from some standard reports, there's nothing that actually has an impact or helps you drive automation one step further. This session shows you the way.
Inside Kubernetes - An Architectural Deep Dive
Let’s dive deep into the Kubernetes Architecture and learn how it works under the hood!
Managing Tooling to Ensure a Reliable CI/CD Pipeline
A CI/CD pipeline that is not trusted because of it's rate of failure due to unreliability is sometimes worse than no pipeline at all. In this talk we will discuss our experiences of what works and what prevents a reliable deployment process.
SentryOne Tools for Productivity and Performance
This quick vendor session demonstrates the spectrum of SentryOne's best-of-breed products for the Microsoft Data Platform, from Task Factory, to Plan Explorer, to DOC xPress, to the SentryOne monitoring platform, and beyond.
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