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.
This session focuses on the deeper integration of SQL Server Integration Services (SSIS) in Azure Data Factory (ADF) and the broad extensibility of Azure-SSIS Integration Runtime (IR).
Many organisations using Power BI seek the Nirvana of self-serve and enterprise reporting, but are left with an unstructured governance strategy. This session simplifies the governance process, by utilising Microsoft Flow and Power BI together.
Step back through the ages and explore how database teams have approached creating environments for dev and test. Learn how, in the new age of provisioning, databases are delivered safer, faster, and more efficiently
Azure introduces a range of new services for transaction processing and analytics solutions which mean we don’t need to deploy virtual machines. This session provides insight into how we see customers deploying evergreen and futureproof solutions.
Learn how Machine Learning Services in SQL Server is a powerful end-to-end ML platform for customers, on both Windows and Linux. Come learn about the unique value proposition of doing your entire machine learning pipeline in-database – right from data pre-processing, feature engineering, and model training to deploying ML models and scripts to production in secure and compliant environment without moving data out. 
<<1>>