In this session you'll learn some of the key data privacy problems facing database developers and DBAs and 10 steps to help your database team build a "defensible position" through development.
We're fortunate in seeing tons of customers migrate to the cloud - this session covers major
Users of Plan Explorer often only utilize the basic capabilities to tune execution plans. This session will cover more advanced techniques to get the most out of SentryOne's FREE execution plan analysis tool.
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
In this action-packed demo full session, we will be showing you how to combine Azure DW and Power BI to get optimal performance for running your day to day reports.
Understand how to create, train and operationalize your data science projects in Azure Machine Learning.
Come join us in the intelligent database world that started with SQL Server 2017 and takes a leap forward with the upcoming SQL Server 2019 and Azure SQL DB.
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.
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.
Come learn how to use .NET and Spark together in Azure Synapse and elsewhere to cook and analyze your data!
A client's case on how to build a robust metadata driven datahub by utilizing Databricks (Delta Lake) for data ingestion, validation, and loading
If you are planning to implement CCI in your production environment you need to be aware of certain aspects before you start. This session outlines key areas that you need to include in your planning beforehand.
Columnstore Indexes were launched in SQL Server 2012 and greatly enhanced in 2014 & 2016 - but if you thought that Microsoft was done with them - you are missing a lot of important improvements that were added.
We will see how to construct a cloud-first architecture based on serverless data analytics. We will look at specific challenges and cost saving strategies, to produce a reliable, scalable and cost effective solution!
Common Data Model as the foundation of Power BI Dataflows and as part of the Open Data Initiative with SAP and Adobe, seems to be a pretty good move from Microsoft. We want to take a closer look to this approach
<<1234>>