Anna Hoffman
Product @Microsoft
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Principal Group Product Manager on Microsoft's SQL Engineering team. Host of Data Exposed. GT Engineering Undergrad + Data Science Masters.
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Adding AI to your SQL Server applications with Containerized Cognitive Services
You don't have to be a data scientist to build data applications with AI! Learn how to leverage AI via Cognitive Services in containers in SQL Server (on-prem and Azure) to develop intelligent data solutions.
After this session, you should:
- Understand how using SQL Server ML Services + Extensibility has become easier for ML model development and leveraging prebuilt AI
- Understand how to implement Cognitive Services in Containers with SQL using the Java Extensibility feature
- Be able to leverage the resources provided to call containerized Cognitive Services from SQL Server in your new and existing data applications
SQL Server to Azure SQL: Availability Architectures
Depending on the SLA your business requires, Azure SQL has the options you need including built-in capabilities. You will learn how to translate your knowledge of Always on failover cluster instances, Always On availability groups and more with the options for business continuity in Azure SQL.
SQL Server to Azure SQL: Security Overview
Ensuring security and compliance of your data is always a top priority. You’ll learn how to use Azure SQL to secure your data, how to configure logins and users, how to use tools and techniques for monitoring security, how to ensure your data meets industry and regulatory compliance standards, and how to leverage the extra benefits and intelligence that is only available in Azure. We’ll also cover some of the networking considerations for securing SQL.
What's new in Azure SQL and SQL Server
Learn what's new to Microsoft databases in 2023 from the Microsoft product group. Get the highlights and learn how to stay up to date moving forward.
The Azure SQL Workshop
Translate your existing SQL Server skills to Azure SQL with Bob Ward and Anna Hoffman. You will gain a foundational knowledge of what to use when, as well as how to configure, monitor, and troubleshoot the “meat and potatoes” of SQL Server in Azure: Security, Performance, and Availability. You will learn about not only the “what”, but also the “how” and the “why”. You’ll also walk away with resources and tools so you can go as deep as your scenario requires and get hands on for free.
SQL Edge to Cloud: The foundation for modern applications
A database makes up the foundational backend of most applications. Therefore, SQL is everywhere you need it – from the IoT Edge to on-premises to public clouds. With all of these options, it can be difficult to know which to choose and why each option may be right for your application needs. In this session, learn about all the currently released and preview versions of SQL from the edge to the cloud. You’ll get to compare the SQL “flavors” and get ahead of the curve by understanding what is possible (and what’s on the horizon) with the modern SQL data platform. Of course, this session will include demos to highlight key innovations with SQL for modern applications.
Microsoft Database Innovations: SQL Server, Azure SQL, Cosmos DB, open-source and beyond
For over 30 years, Microsoft has been leading the charge with innovations in the database spaced based on YOUR feedback and requirements. In this session, learn about the more recent innovations and customers, and how we're aiming to build the best operational database on the planet, anywhere you are. Database services covered include SQL Server, Azure SQL, Cosmos DB, Azure Database for PostgreSQL, MySQL, and MariaDB, and Azure Arc.
Networking, Azure SQL Database, and Private Link: what you need to know
In this session, you'll learn the things you should know as a DBA or data professional when working with Azure SQL Database ... for networking. We'll cover the various connectivity options, and the options for securing your network, including Private Link.
Machine Learning in Azure SQL DB
You may be familiar with SQL Server ML Services, but what about ML Services in Azure SQL DB? We'll walk through how to get set up, and how to create an R model to predict wine quality. The parting gift is all the code an instructions!
Learn Azure SQL Database through Demos
Slides are very informative and useful, but sometimes you just want to see how it works! In this fast-paced, demo-heavy session, you'll see demos related to deployment, security, performance, and availability for Azure SQL Database. Even better, you'll walk away with all the materials you need to run through the demos yourself for free!
Don't miss the bus: Functions, Azure SQL, Geospatial, JSON
Learn in this fun example about missing (or trying not to miss) the bus. Several Azure services and tools will be used, including Azure SQL Database. At the end, get the code to try it yourself.
Catch the serverless bus: Azure Functions, Logic Apps, and Azure SQL Database
Join me to learn how to catch the bus (literally). We'll follow a scenario of tracking bus locations in real-time and sending notifications when a bus is close to your location (geofence). This scenario will link to a full Microsoft Learn learning path (with free Azure sandbox), so you can get hands on for free in the language of your choice (Node.js, Python, or .NET). You'll learn how to deploy an Azure Function that adds real-time data to an Azure SQL Database (serverless) and triggers an Azure Logic App for notifications, all with GitHub Actions for CI/CD.
Azure SQL: What to use when
In this session, you'll learn from a member of the Microsoft Product Group the different options for your SQL deployments in Azure. After this session, you should be able to:
○ Articulate the key differentiators between SQL Server on-prem, in Azure VM, in Azure SQL DB (Single database, Elastic Pools, and Managed instance)
○ Explain the different service tiers within Azure SQL DB, and evaluate what is best for your workloads and business requirements (Serverless, Hyperscale, General Purpose, Business Critical, etc)
Azure Data Studio - a developer's best friend for data
Like VSCode? Work with data? Then you'll love Azure Data Studio. In this session, engage with the Microsoft SQL product group. Azure Data Studio is a cross-platform database tool for data professionals who use on-premises and cloud data platforms on Windows, macOS, and Linux. In this session, you'll learn when to use Azure Data Studio, how to get started, and what's new.
A behind the scenes look at ML, AI, and Deep Learning
Learn about the key differences behind machine learning, artificial intelligence, and deep learning, including a look under the hood of how they actually work. At the end, I'll share tools and resources for doing all of the above with SQL Server and Azure.
Build serverless, full stack applications in Azure with Azure SQL
Learn how to create, build, and deploy modern full stack applications in Azure leveraging the language of your choice (Python, Node.js, or .NET) and with a Vue.js frontend. Topics covered include modern database capabilities, CI/CD and DevOps, backend API development, REST, and more. Using a real-world scenario of trying to catch the bus, you will learn how to build a solution that leverages Azure SQL Database, Azure Functions, Azure Static Web Apps, Logic Apps, Visual Studio Code and GitHub Actions.
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