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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.
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