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.
Learn what wait statistics are and how to use them to identify performance bottlenecks.
dbatools is an open source PowerShell module. This session will walk through several life hacks that you can take back to work and quickly implement to make your life easier and impress your friends.
Are you looking to take your career to the next step? Microsoft Certifications help validate knowledge and ability required to perform current and future industry job-roles in a modern digital business. Our certification
Join us for a session that explains connectivity basics followed by how to eliminate all public access to SQL Database server and transition to private-only access using Azure Private Link.
In this session we will demonstrate a few workload patterns on Azure SQL Database and discuss how to identify and remove bottlenecks in order to scale those applications.
This session focuses on the all PaaS solution of Azure SQL DB/Managed Instance (MI) + SSIS in Azure Data Factory (ADF) to lift & shift, modernize, and extend ETL workflows.
Fast-paced session where Paul debunks a slew of myths and misconceptions around SQL Server performance!
In this session you will get a birds eye view of all the features in Azure Data Factory, and see this demonstrated in a cloud ETL.
This session provides an end-to-end walk through of how to use Azure Synapse for cloud-hosted advanced analytics, based around a real-world predictive maintenance use case.
Join this session to learn about new and upcoming SQL security features and how they are supported in hybrid environments.
Learn what SQL Injection is and all the mechanisms you should employ to help stop it.
While you might have read about notebooks being used for Data Science, this session is for DBAs. You will see how you can use SQL Notebooks to simplify your work.
SQL Server 2019 represents the next evolution of the leading database platform in the industry. In this session, we will cover the complete set of features and capabilities in SQL Server 2019.
A complete overview about SQL Server Big Data Clusters including it's major components and use-cases!
Most DBA’s are cowboys, but there is much to learn from the world of cow herding and dairy farms that can make us manage SQL Server instances in a better way. Come and learn how SQL Server farms are the future.
Translate your existing SQL Server performance and availability skills and apply them to Azure SQL.
See how we can address the problem of real-time analysis, on data in its raw form, without going through the whole ETL/ELT process, using Azure Data Explorer. We will also explore this solution in a demo!
Automation for deploying, monitoring and alerting in a data lake data platform using Terraform, DevOps, Application Insights, Log Analytics and PowerBI.
So your company has no budget for fancy 3rd party tools. Don’t worry, the SQL community has got your back. Come and hear about the many free tools available to data professionals that will help you in your daily life.
In this session you'll learn real-world experience from Microsoft's Customer Advisory Team about what you need to manage and administer Power BI.
As Power BI is a self-service tool, it can be hard for administrators to monitor it. Power BI is fast improving in this context but there still isn’t a consistent way of monitoring it.
SQL Server has long had a series of development anti-practices like using scalar functions and table valued functions that are vastly improved in modern versions of the database engine. Learn what's fixed.
If you have heard about Query Store but don't know what it can offer, or why you really need it, this session will answer those questions and demonstrate the value of this feature that continues to evolve.
Learn what is necessary to keep an eye on your Azure SQL Database in order to better tune it and reduce costs.
Look inside Query Store to see what it does and how it works
In this session, we will explore real world DAX and Model performance scenario's. These scenarios range from memory pressure to high CPU load. Watch as we will dive into the model and improve performance by going through concrete examples.
This session focuses on the deeper integration of SQL Server Integration Services (SSIS) in Azure Data Factory (ADF) and the broad extensibility of Azure-SSIS Integration Runtime (IR).
Monitoring for Power BI is one of the things that tends to be an afterthought. Apart from some standard reports, there's nothing that actually has an impact or helps you drive automation one step further. This session shows you the way.
Power BI Premium and Analysis Services enable you to build comprehensive, enterprise-scale analytic solutions. This session will deep dive into exciting new and upcoming features.
Various topics will be covered such as management of large, complex models, connectivity, programmability, performance, scalability, management of artifacts, source-control integration, and monitoring. Learn how to use Power BI Premium to create semantic models that are reused throughout large, enterprise organizations.
<<12>>