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One of the last technical challenges of cloud adoption is right security configuration. This session focuses on Azure Sql PaaS, covers governance, risk management and compliance and provides 8-step process for securing public cloud.
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.
In this hour long session we will attempt to include lots of advice and guidance on how to develop code that will easily get approved by your DBA prior to release to production.
SQL Server provides a wealth of tools in the box to help you spot troublesome queries. We'll explore those and examine how they can best be used.
SQL Server 2019 includes new query processing features such as batch mode on rowstore, memory grant feedback, approximate query processing, and more. How do these work? Are they as good as Microsoft wants us to believe?
SQL Server 2019 expands on the Polybase feature from SQL Server 2019 by providing a robust data virtualization solution to reduce the need for ETL and data movement. Come learn how new data connectors work with sources like Oracle, MongoDB, CosmosDB, Terradata, and HDFS.
Containers are the new virtual machines. They present a new way to deploy, manage, and run SQL Server never possible before. This session will present an internal view of how Docker containers work, how SQL Server runs in them, and how they work in environments such as Kubernetes
The new SQL Server tool designed to help manage your estate
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.
In this session, you'll learn about the various prebuilt AI/ML models that are available for your consumption through Microsoft's Cognitive Services. Additionally, you'll see examples of how these prebuilt services can be leveraged with SQL Server 2019.
This session will cover how to work around hardware issues when it isn’t in the budget for newer, faster, stronger, better hardware. Learn tips and tricks on how to reduce IO,relieve memory pressure, and reduce blocking.
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!
Running SQL Server in containers has huge benefits for Data Platform professionals but there are challenges to running SQL Server in stand alone containers. This session will cover what those challenges are and how Kubernetes overcomes them.
With GDPR and the number of data breaches we see in the news, encrypting sensitive data is incredibly important. In this talk we start with the basics of encryption, moving on to look at the ways we can encrypt data in SQL Server and Azure SQL DB.
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. 
I'll share what I've learned so you can successfully manage SQL Server on Linux!
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
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