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5 Mistakes in Cloud Data Migration Justin Langford
We're fortunate in seeing tons of customers migrate to the cloud - this session covers major
A Distributed Availability Groups Primer Allan Hirt
A distributed availability group is not your mother's availability group. Want to know more? Attend this session.
Advanced analytics features in Power BI Chris Webb
In this session you’ll learn about some of these advanced analytical features in Power BI, including: the Analytics pane on visuals; the Key Influencers visual and other AI features.
An administrators guide to SQL Server 2019 BDC Buck Woody
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.
An introduction to Azure Synapse Analytics! Mahesh Balija
Azure Synapse Analytics combines the power of Data Lakes with Data Warehouses, empowering the organizations to build Big Data, Advanced Analytics and Business Intelligence in one single platform.
Analysis Services DevOps with Tabular Editor Daniel Otykier
Continuous Integration and Delivery can be a pickle for Analysis Services Tabular Models when using the standard tools. With Azure DevOps, GIT and Tabular Editor, there's a better way...
App Modernization & Migration using migr tools & Azure SQL Raj Pochiraju
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.
Artificial Intelligence, Machine Learning and Deep Learning Buck Woody
What is the difference between Artificial Intelligence, Machine Learning and Deep Learning and how can each be used? Join Buck Woody cover simple, clear explanations for these technologies, how they can be applied.
Azure AI, Power new possibilities for every organization Lindsey Allen
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 Data Factory patterns and best practices Shirley Wang
Azure Data Factory is a cloud native ETL service built for all data integration needs and skill levels. You can easily construct ETL and ELT processes code free or write your own code.
Azure data services on Azure Arc Umachandar Jayachandran
In this session you’ll learn more about Azure data services on Azure Arc
Azure Data Studio Features in 20 Minutes Vicky Harp
How many features of Azure Data Studio can the team blaze through in 20 minutes? We'll find out in this fast paced, lightning-talk style demo session that will touch oh-so-briefly on as many features as possible.
Azure Key Vault, Azure Dev Ops and Data Factory Erwin de Kreuk
Azure Key Vault, Azure Dev Ops and Data Factory how do these Azure Services work perfectly together!
Azure Machine Learning and the Python SDK Robin Lester
Understand how to create, train and operationalize your data science projects in Azure Machine Learning.
Azure SQL Database Edge-Optimized SQL Engine for Edge/IoT Sourabh Agarwal
Azure SQL Database Edge has taken the same SQL database engine you know and optimized it for the Edge. This session explores popular customer implementations, along with new product features for the Intelligent Edge
Azure SQL: What to use when Anna Hoffman
Learn what to use when for various flavors of Azure SQL
Azure Synapse Analytics James Serra
Learn all about Azure Synapse Analytics, including demos so you can see exactly how it works and how it can make your life easier.
Baselining Performance with DEA Dustin Dorsey
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.
Big Data Processing with .NET and Spark Michael Rys
Come learn how to use .NET and Spark together in Azure Synapse and elsewhere to cook and analyze your data!
Building Modern Data Warehouse with Azure Synapse Analytics! Mahesh Balija
Azure Synapse Analytics combines the power of Data Lakes with Data Warehouses, empowering the organizations to build Big Data, Advanced Analytics and Business Intelligence in one single platform.
Building real-time big data analytics solutions Krishna Mamidipaka
Building real-time big data analytics solutions with Azure Data Explorer and Azure Stream Analytics - Come learn about the latest that Azure has to offer in real-time analytics
Code Your Report Environment Frank Geisler
How to code everything in SSRS with PowerShell.
Coming Soon: Upcoming SQL Tools Features Vicky Harp
In this demo-heavy session, the PM and engineering team will share some of the very latest tools functionality, along with sneak peaks of upcoming features and prototypes for the SQL Server tool suite.
Common Data Science Mistakes Tomaz Kastrun
Taken from the 20+ years of field experiences, many common statistical and data science mistakes have been detected. Session will tackle couple of them.
The video is not available to view online.
Container questions that Andrew and Anthony DM each other Andrew Pruski
A Q&A panel session with Andrew Pruski and Anthony Nocentino talking about all things containers! Hosted by Rob Sewell
Creating Custom Visuals in Power BI with TypeScript and D3.j Mihail Mateev
This presentation is about how to create custom visuals (components) for your PowerBI reports. Power BI reporting features could be extended with custom components, that developers can implement.
Culture is vital for DevOps Success. Hamish Watson
Why do most DevOps projects fail? Typically it is not because of tool choice or cloud vs on-prem deployments It is because people don't understand what culture is or how to work towards a common business goal.
Database CI/CD with Docker Containers and Azure DevOps Chris Taylor
In this demo heavy session we will show how Containers and Kubernetes, along with Azure DevOps can work for your CI/CD pipeline.
Database modernization best practices & learnings Mukesh Kumar
In this session you’ll learn the real-world ins and outs of how we successfully migrated customers to Azure data platform.
Deep Dive into the Common Data Model José Mendes
Deep dive into the Common Data Model world and learn how to deploy, extend and use it along with other Microsoft technologies like Power Apps, Power BI Dataflows and Azure Databricks.
Democratizing Machine Learning on the SQL Platform Michelle Wallig
Come and join us this session to unleash the power from your data as we introduce Machine Learning Services for Python and R across the SQL Platform.
Democratizing Self-Service Data Preparation within Power BI Ben Sack
Everything you need to know about dataflows & how to easily prep your data, leverage Microsoft’s standardized schema (CDM), improve time-to-value, eliminate data silos, & create one source of truth for your organization.
Deploying SQL Server in Kubernetes Anthony Nocentino
Are you thinking about running SQL Server in Kubernetes and don’t know where to start…are you wondering what you really need to know? Then this is the session for you.
De-risk Your Azure SQL Migration: 5 Critical Considerations Kevin Kline
The session takes you through the most critical considerations for moving your on-premise data and databases into the Azure cloud, with a focus on the steps leading to the migration and immediately afterwards.
Designing Azure Data Disaster Recovery Strategies John Morehouse
Unfortunately, disasters can affect cloud technologies and if you are't prepared for it, the results can be painful. Let's discuss ways to implement Azure SQL disaster recovery techniques to help protect your data!
DevOps 101 for Data Folks Alex Yates
An introduction to the principles that underpin DevOps and the practices that are derived from those principles. This session is mostly theoretical, although it finishes with a brief overview of an Azure DevOps pipeline.
DevOps your Databricks Workspace Simon Sabin
Learn how to take your Azure Databricks Workspace and store all you care about in a git repo, and maybe even have some tests running as part of your release pipelines!
The video is not available to view online.
First Dates: AI & DBAs. Any Chance to be a perfect match? Sascha Lorenz
In this session, we will discover how to utilize common machine learning approaches for daily SQL Server DBA tasks.
From Data Lake to Insights using Azure Synapse Analytics Jovan Popovic
Azure Synapse now provides a Query-as-a-Service capability to enable serverless exploration over your data lake with no infrastructure or clusters - all you need to know is T-SQL.
Getting Started with Learning Azure Monica Rathbun
Join three Microsoft Data Platform MVPs to discuss the best approach with building your Azure skills. You will learn the best approaches to gaining the skills you need to function in a cloud world.
How Delta Lake with Azure Databricks can accelerate your big data workloads Bhanu Prakash
Come learn how you can leverage the new and advanced features of Delta Lake on Azure Databricks to easily transform your big data analytics and machine learning workloads
How to Build Modern IoT Solutions with Cosmos DB & Power BI Mihail Mateev
Sometimes design and implementation of modern IoT solutions can be easy. This talk is how to implement modern IoT server-less solutions in Azure, based on event driven design, and powered by Cosmos DB and Power BI.
How to Succeed on the 'Unhappy Path' in Database DevOps Kendra Little
We often talk about DevOps when everything is going well, but what about when it isn't? We will walk through three real-world 'unhappy path' examples and how to overcome the challenges.
Implementing AI using Azure Machine Learning Services Vitor Fava
In this session, we will discuss the basics of IA and how we can apply it in our business using the Azure Machine Learning Services
Inside SQL Server on Kubernetes Bob Ward
In this session, we will dive deep into the Kubernetes platform and how SQL Server containers can be deployed, managed, and configured. This session assumes a fundamental knowledge of both SQL Server and containers.
Install & Configure SQL Server with PowerShell DSC Jess Pomfret
Using PowerShell Desired State Configuration (DSC) we'll install and configure a SQL Server instance in under 5 mins.
Introducing Deployment pipelines- The future of content lifecycle management in Power BI Nimrod Shalit
BI professionals continuously improve datasets, reports and dashboards to provide their users with the best analytics experience, but managing all those content updates can be a challenge.
Introduction to Infrastructure as Code with Terraform John Q Martin
Join John as he introduces Terraform as a cloud agnostic management interface for taking a code first approach to cloud infrastrucutre deployments.
Machine Learning in Azure Databricks Terry McCann
In this session we focus on how Spark implements Machine Learning at Scale with Spark ML.
Machine Learning in C#?! Introduction to ML.NET Will Velida
Are you a .NET developer who's being FOMO'ing over all the machine learning goodness? Thanks to ML.NET, this is no longer the case! Learn how you can use your C# skills to build some awesome ML applications!
The video is not available to view online.
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