Denzil Ribeiro

Join the SQLCAT team for a full day Azure SQL DB deep dive on fundamentals, performance troubleshooting, advanced practices, application patterns, customer scenarios and practical learnings

Learn how hyperscale can accommodate applications to scale from the very small applications to large scaled out ones with options from provisioned to serverless. This cloud native multi-modal database can meet all modern application needs in the cloud whether security, resiliency, availability or performance.

Azure SQL Database is powering some of the largest SaaS solutions on the planet sporting millions of tenants. It does that through a combination of multiple multi-tenancy models that support different requirements and use cases. from few users to millions. In this session, we'll dig deeper into some examples of real-world architectures implemented by 1st party and 3rd party solution providers like Microsoft Dynamics 365 and others, and see how these can be applied to your own scenarios.

Come get your questions answered live on stage by members of the Microsoft engineering team. This will be a fun and interactive session hosted by Bob Ward. We will take questions live from the audience plus those who are connected virtually.

Query store hints enables changing query plan shapes without modifying application code. We will look at a few poor performance scenarios and use query store hints to improve performance of the application. Become an instant hero  having query store hints in your toolkit.

We will deep dive into the architecture of Hyperscale and its various components. We will dive into scaling aspects and the new application patterns it enables and also diagnostics that enable bottleneck identification.

In this session we will demonstrate a few workload patterns on Azure SQL Database and discuss how to identify and remove bottlenecks in order to scale those applications.