This talk will address how to add the unit testing framework tSQLt to the database deployment pipeline. The purpose is to reduce the cost of validate every change in the database with a fully automated pipeline.
This session will take a look at better Unicode support, query processing improvements for row store tables, secure enclaves, and other neat things you'll find useful as a modern database administrator or developer.
A walk-through on what is possible analyzing your data with the "R" language.
Managed Instances can make your cloud migrations simpler, but have their own nuances. Learn about what you need to know to manage this new platform.
Based on real life scenarios, an audience interactive session.
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
Start your database off right so you can scale when you need to
Graph databases – Origins, how they work, strengths and weaknesses
Everyone that has been involved in Software Development can notice how huge the impact of a bug can be, and Databases are not the exception. In this session, you will learn how to test your SQL Server projects using Visual Studio and SQLUnitTesting.
Learn in this session how you can package any database- or server-level permission in a stored procedure with help of certificate signing or EXECUTE AS and why one method is to prefer over the other.
What data profiling is & why you should do it.
Are you curious about Azure Cosmos DB? This is the session for you! Join us to find out what it is, how it compares to other database platforms, and what all the hype is about!
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. 
Learn about the metadata features in SQL Server that describe your database and how they can make documentation, tuning, and maintenance much easier.
Ever wondered how you can add the power of ML to your existing SQL estate without the need to invest in new services? Come to this session to learn about running Python and R workloads in SQL, the PREDICT function, and how to operationalise models in Azure SQL Database
This session will focus on the new features and capabilities that help you meet compliance and security needs with SQL Server on-premises as well as in Azure SQL Database. This includes the new Static Data Masking, new authentication capabilities, new functionalities in Vulnerability Assessment and Threat Detection as well as Always Encrypted. If you want to know about the latest developments in SQL Security, this session is for you.
<<1>>