Kasper de Jonge

Microsoft Fabric brings data, analytics, AI, and business users together on one SaaS platform. This session explains how to secure that environment using layered controls and practical implementation guidance.

In a world where data becomes more ubiquitous and readily available across your organisation, securing and governing it becomes critical. In this session, we’ll explore how Microsoft Fabric helps you secure and govern data using both built-in capabilities and native integration with industry-leading Microsoft products like Entra ID and Microsoft Purview.

Learn how Microsoft Fabric’s SaaS data platform impacts Power BI. We’ll cover lakehouses, warehouses, parquet storage, DirectLake vs. DirectQuery/Import, and show how common Power BI patterns—like incremental refresh—work inFabric.

Do you have to be experts like Bob Ward and Anna Hoffman to use SQL? What about Fabric? Why not both? Come join our experts from Microsoft in this entertaining and educational session where the worlds of SQL and Fabric come to together in way you never knew existed

The analytics landscape for data focused application developers is changing fast, with AI, Real-time analytics, data sources growing exponentially and new tools available daily. Microsoft Fabric can serve as the center of data gravity for both business and technical users enabling data insights...

The analytics landscape for data focused application developers is changing fast, with AI, Real-time analytics, data sources growing exponentially and new tools available daily. Microsoft Fabric can serve as the center of data gravity for both business and technical users enabling data insights or data engineering…

Microsoft Fabric is an all-in-one analytics solution for enterprises that covers everything from data movement to data science, Real-Time Analytics, and business intelligence. It offers a comprehensive suite of services, including data lake, data engineering, and data integration, all in one place. Microsoft Fabric is a SaaS (Software as a Service) platform which works differently than a PaaS (Platform as a Service) like Azure. With the Fabric SaaS service, you are getting a lot of security features out of the box that you might not be aware of to allow you to secure your data estate. In this session we will look at how Fabric secures your data, we will look at all the aspects of security of the Fabric platform: - Understand how users authenticate, - Understand inbound security options , - How can you access your secure data, - Where and how is your data stored and where does it go when used, - How to make sure your data is only accessible for certain users. - Finally, how to govern your data with Purview integration. This will make sure you understand what you get out of the box with Fabric and have the discussion with your security team!

Join us for an engaging “Ask Me Anything” session with the engineering teams behind Security in Microsoft Fabric. This interactive Q&A offers a unique opportunity to connect directly with the experts shaping the future of data at Microsoft.

Microsoft Fabric is an all-in-one data platform for enterprises that covers everything from data movement to data science, real-time analytics, business intelligence, and more. Microsoft Fabric is a SaaS (Software as a Service) platform which works differently than a PaaS (Platform as a Service) like other services in Azure.

Microsoft Fabric is an all-in-one analytics solution for enterprises that covers everything from data movement to data science, Real-Time Analytics, and business intelligence. It offers a comprehensive suite of services, including data lake, data engineering, and data integration, all in one...

The analytics landscape for data focused application developers is changing fast, with AI, Real-time analytics, data sources growing exponentially and new tools available daily. Microsoft Fabric can serve as the center of data gravity for both business and technical users enabling data insights...

Microsoft Fabric is an all-in-one analytics solution for enterprises that covers everything from data movement to data science, Real-Time Analytics, and business intelligence. It offers a comprehensive suite of services, including data lake, data engineering, and data integration, all in one place.

Microsoft Fabric is an all-in-one analytics solution for enterprises that covers everything from data movement to data science, Real-Time Analytics, and business intelligence. It offers a comprehensive suite of services, including data lake, data engineering, and data integration, all in one place.

Learn how Microsoft Fabric makes sure your data is secure. Did you know for example that all data is encrypted by default? Or that you can configure MFA for all your users? Fabric offers many of these possibilities and more out of the box without most of us knowing! In this session you will...

Microsoft Fabric is here, and it fundamentally changes our data landscape. It introduces a Power BI like SaaS model for the data platform. You can now with a few clicks ingest data into the cloud by running pipelines, create a Lakehouse to make that data accessible and run Python, Spark, SQL and DAX on top of it. What does this all mean for Power BI? There are a lot of architectural changes, and you might wonder if you now need to start refactoring your Power BI solutions. In this session we get you ready to decide whether you want to start using the new Fabric workloads for your Power BI solutions. First, we do an introduction of Microsoft Fabric is, then we will get an overview of lakehouse and how the data is stored in parquet files under the covers. Finally, we will see how this data is being exposed to Power BI through Directlake and how this differs from DirectQuery or Import. Then we will close off with demos where we solve some common Power BI patterns like incremental refresh and transactions on top of data getting loaded into the Fabric lakehouse.

Power BI has come a long way since it has been on the market for over 5 years. In that time we have seem Power BI grow from self service to full blown enterprise BI platform. In this session we will share the most important lessons learned over that time to be successful and avoid pitfalls for example with self service vs enterprise, modelling, performance, security, data lakes, COE and exec sponsorship.

Power BI has come a long way since it has been on the market for over 5 years. In that time we have seem Power BI grow from self service to full blown enterprise BI platform. In this session we will share the most important lessons learned over that time to be successful and avoid pitfalls for example with self service vs enterprise, modelling, performance, security, data lakes, COE and exec sponsorship.

Power BI Premium enables you to build comprehensive, enterprise-scale analytic solutions that deliver actionable insights through familiar data visualization tools such as Microsoft Power BI and Microsoft Excel. This session will dive deep into exciting, new and upcoming features including aggregations for big data to unlock petabyte-scale datasets that was not possible before! The session will focus on performance, scalability, and DAX improvements. Learn how to use Power BI Premium to create semantic models that are reused throughout large, enterprise organizations

Power BI Premium enables you to build comprehensive, enterprise-scale analytic solutions that deliver actionable insights through familiar data visualization tools such as Microsoft Power BI and Microsoft Excel. This session will dive deep into exciting, new and upcoming features including aggregations for big data to unlock petabyte-scale datasets that was not possible before! The session will focus on performance, scalability, and DAX improvements. Learn how to use Power BI Premium to create semantic models that are reused throughout large, enterprise organizations

Power BI Premium enables you to build comprehensive, enterprise-scale analytic solutions that deliver actionable insights through Microsoft Power BI. The session will focus on performance, scalability, and application lifecycle management (ALM).