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In this session, we'll cover the 10 most common tasks a DBA needs to learn to manage in Azure SQL as well as they currently manage their On Prem installs.
Isn't it awkward when someone asks you, "So, where do you see yourself 5 years from now?" Brent Ozar will share how he analyzed the data job market to build his career path.
We're fortunate in seeing tons of customers migrate to the cloud - this session covers major
If you want to work for yourself, you need to be able to sell yourself. I know, I hate it too - it feels gross when I write it that way. I'm Brent Ozar. You recognize my name, that's why you wanna learn this from me.
A distributed availability group is not your mother's availability group. Want to know more? Attend this session.
This demo-heavy session will show you advanced methods Paul's used extensively over the years to salvage data for real-life clients after catastrophic corruption.
Join this session if you are interested in the administration scenarios of the big data clusters, including tooling for monitoring, how to deploy and secure the environment, and to learn about the latest improvements.
In this session, you'll learn about an end-to-end scenario that takes customers through the application migration process, and how that relates to the data migration.
Application and Database migrations can be a cause for concern. How many times have you heard, "If it isn't broke don't fix it". Come see how you can give confidence to key stake holders on testing the process.
Automated Machine Learning, "1 button data science", has been with us for a while. As always there's fans and detractors. We'll discuss when and why you'd use AutoML and when it's better to avoid it.
Join us for this session to learn about using serverless in SQL Database and save cost while achieving the desired performance.
AI and data is at the center of the digital feedback loops. We have invested in a comprehensive portfolio of AI tools, infrastructure and services. Come to this session to get an update of Azure AI with demos.
Learn the tools and techniques you can use to create governance and insights around your Azure spend
In this session you’ll learn more about Azure data services on Azure Arc
How do you deploy multiple machine learning models in production to solve your challenge? How do enable canary releases and A/B testing? How do you make sure a user is always served by the same version of the model?
Understand how to create, train and operationalize your data science projects in Azure Machine Learning.
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 explore Azure Synapse Analytics, we will dive into this limitless analytics service and explore how it brings together enterprise data warehousing and Big Data analytics.
In this demo intensive session I will show you how to tackle the most challenging tasks with Extended Events without writing a single line of code.
Learn what the Database Experimentation Advisor is and how you can start using it to baseline performance from a target and source server when new changes are introduced.
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