Kasper de Jonge
Principal Program Manager, MS Power BI
Kasper de Jonge is a Principal Program Manager on the Microsoft Fabric team, where he has worked on developing features for Power BI, Power Pivot and SSAS. Currently he is working in the Fabric Customer Advisory Team. He is a frequent speaker at conferences such as Ignite, MBSAS, SQLPASS, and SQLSaturday. His blog can be found at http://www.kasperonbi.com and can also be found at twitter http://twitter.com/kjonge. He is also author of Dashboarding & Reporting with Power BI: How to Design and Create a Financial Dashboard with Power BI .
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Microsoft Fabric, Lakehouses and Power BI: A guide for BI developers
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.
Lessons learned from 6 years of Power BI implementations
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.
The Power BI secret sauce: Security and governance
When Power BI is used increasingly in your organization it is important to understand how Power BI can secure your data and how we keep your data safe. In this deep dive session, we will look at all the aspects of security of Power BI, from users authenticating, where and how your data is stored. We even look at how to leverage AAD security and data loss prevention features to add additional security and hopefully make your security team happy!
How to model your data right and make your life easy in Power BI?
In this session we will look at how you should approach your data modelling for your Power BI project. And why is it important to think about this? We will talk about all that is needed to get your Power BI modelling skills to the next level and even make your DAX life simpler and make sure you have better performance.
When you know these basic it will set you on the path to master any modelling challenge with Power BI or Analysis Services.
Microsoft Fabric, Lakehouses and Power BI: A guide for BI developers
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.
Fabric security: everything you need to know!
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 now 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!
Power BI security deep dive
Power BI contains all your important data so understanding how it is secured is important. In this deep dive session we will look at all the aspects of security of Power BI, from users authenticating, where and how your data is stored and we even look at how to leverage AAD security to add additional security.
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