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10 DBA Tasks for Azure SQL: Whats Different from On-Prem
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.
300-Level Guide to Career Internals: Planning Your Career
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.
5 Mistakes in Cloud Data Migration
We're fortunate in seeing tons of customers migrate to the cloud - this session covers major
500-Level Guide to Career Internals: Building a Brand
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 Groups Primer
A distributed availability group is not your mother's availability group. Want to know more? Attend this session.
Advanced Data Recovery Techniques
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.
An administrators guide to SQL Server 2019 BDC
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.
App Modernization & Migration using migr tools & Azure SQL
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-A Pester Journey
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, the good, the bad and the why
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.
Autoscale and price-perf with Azure SQL DB serverless
Join us for this session to learn about using serverless in SQL Database and save cost while achieving the desired performance.
Azure AI, Power new possibilities for every organization
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.
Azure Cost Management
Learn the tools and techniques you can use to create governance and insights around your Azure spend
Azure data services on Azure Arc
In this session you’ll learn more about Azure data services on Azure Arc
Azure Kubernetes and Istio: Data Science in Production
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?
Azure Machine Learning and the Python SDK
Understand how to create, train and operationalize your data science projects in Azure Machine Learning.
Azure SQL Hyperscale Deep Dive
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.
Azure Synapse Analytics : Evolving Azure SQL Data Warehouse
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.
Baking Extended Events recipes without breaking a sweat
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.
Baselining Performance with DEA
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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