Jason Horner

In this session, we will start with an overview of Azure Data Factory concepts, then show you how you can use metadata to quickly build scalable serverless pipelines to move data from disparate data sources including On-Premises and Platform As A Service.

Data lakes have been around for years yet there is still much hype and hyperbole surrounding their use. This session goes beyond corny puns and broken metaphors and instead provides real-world guidance.

This immersive full day hands on session will arm you with all the skills you need to build and orchestrate pipelines using Azure Data Factory v2 that solve both traditional data integration problems, real-time, and complex event processing.

Data lakes have been around for several years and there is still much hype and hyperbole surrounding their use. This session covers the basic design patterns and architectural principles.