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.
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.
DBA and Data scientists should work together! Analyzing data gathered with XE and Query Store data using R or Python for better database insight and discovering hidden patterns.
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
Understand how to create, train and operationalize your data science projects in Azure Machine Learning.
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.
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.
Azure boards within Azure DevOps give you the capability to organise your project and analyse the it’s progress. Do you want your manager to stop bugging you about your project’s progress, come to this session?
In this session we'll focus on the benefits of using Azure Data Lake. We will cover how we use ADLS in real projects to produce a security architecture which is adaptable, scalable and provides monitoring capabilities.
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.
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.
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.
We will see two important case studies where the optimizer is obviously a criminal who has killed the query performance. We will together with carefully investigate inside the query optimizer understand the reason.
Learn tips and tricks to make SSIS perform better.
In this session, we will discover how to utilize common machine learning approaches for daily SQL Server DBA tasks.
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.
SQL Server 2019 is full of new features. Some of them are very interesting and useful, but unfortunately not well-known. So far.
Automate optimising your hybrid production databases by recording workloads and replaying them either on-prem or onto Azure instances whilst identifying bottlenecks and exploring SQL tuning techniques.
<<123>>