Gabi Münster

OneLake is the central data access layer in Microsoft Fabric, but it is more than just that. Over the past two years, a lot of changes and additions have been added to OneLake to make it a more complete and manageable center of your Fabric Implementation and a core piece in Microsoft's IQ strategy.

OneLake is the central data access layer in Microsoft Fabric, but it is more than just that. Over the past two years, a lot of changes and additions have been added to OneLake to make it a more complete and manageable center of your Fabric Implementation and a core piece in Microsoft's IQ strategy.

What happens when “fast enough” isn’t enough? We follow a real-world journey from import mode to Direct Lake—and beyond. Learn where each approach hits its limits and why DirectQuery to a Fabric Data Warehouse became essential to support hundreds of concurrent users. We’ll share the design changes, trade-offs, and lessons that made this solution scale in production.

OneLake Security is the new centralized policy engine in Microsoft Fabric that promises creation and maintenance of Data Security policies in a single place while being respected by all workloads. How does this look like from a Power BI Developer perspective?

OneLake Security has been a core principal in the Microsoft Fabric vision since day one, and it is finally there. Let's have a look at what this means: - How do I configure and manage OneLake Security? - Which functionality is available as of today? - Which limitations should I be aware of?

Governance is a very large field, spanning the full range of Administration, Security, Discoverability, Data Management and Observability. Typically, different personas inside an organization are tasked with different aspect of Governance, and each of these personas has different requirements in terms of content and…

Ask me about Fabric fundamentals for Power BI users, what changes (and what doesn't), and admin best practices, data management, and production-ready analytics foundations

OneLake Security is the new centralized policy engine in Microsoft Fabric that promises creation and maintenance of Data Security policies in a single place while being respected by all workloads. How does this look like from a Power BI Developer perspective?

OneLake Security is the new centralized policy engine in Microsoft Fabric that promises creation and maintenance of Data Security policies in a single place while being respected by all workloads. How does this look like from a Power BI Developer perspective?

In this session, we will explore the multifaceted challenges of diversity at work. While some employees feel empowered and validated, others are overwhelmed by the need to learn, adapt and change.

Stepping onto the stage to present at a conference for the first time can feel daunting - but with support from an experienced mentor, the journey can be (almost) painless and much more fun! In this shared session, we will take you through the highs, lows, and the unexpected moments of preparing for a conference talk. From our first impressions of each other to finding common ground, receiving and giving feedback and finally , support on the day - this is a story of trust and growth. Along the way, we will share practical takeaways for both first-time speakers and mentors to navigate this journey. Expect real stories, honest reflections and plenty of fun !

Power BI into Fabric, Real-Time Intelligence into Fabric. If you’re wondering “why should I or my organization care about Fabric Real-Time Intelligence?” In this demo-led session, we’ll start our journey investigating the capabilities of Fabric Real-Time Intelligence from a Power BI Pro's...

Due to its purpose, Microsoft Fabric as a service is already built to be transparent, easy to use and informative. Options to identify meaningful content, information about lineage and ownership and offerings to integrate into other parts of the IT landscape are core to this service. With this...

In the ever-evolving landscape of governance, where agility, transparency, and efficiency are paramount, the integration of cutting-edge technology becomes imperative.

In the ever-evolving landscape of governance, where agility, transparency, and efficiency are paramount, the integration of cutting-edge technology becomes imperative. Enter Microsoft Fabric – a transformative platform designed to revolutionize data democratization.

As organizations increasingly rely on data-driven decision-making, effective data governance has become paramount. Microsoft Fabric, an integrated data platform, offers a comprehensive set of tools and services designed to streamline data management, analytics, and governance.

Power BI into Microsoft Fabric, Synapse Real-time Analytics into Fabric Real-Time Intelligence. If you’re wondering “why should I or my organization care about Fabric Real-Time Intelligence?” In this demo-led session, we’ll start our journey investigating the capabilities of Fabric Real-Time Intelligence from a Power BI Pro's desktop, discover a catalog of streaming sources in your organization, c…

In the ever-evolving landscape of governance, where agility, transparency, and efficiency are paramount, the integration of cutting-edge technology becomes imperative. Enter Microsoft Fabric – a transformative platform designed to revolutionize data democratization.

In the ever-evolving landscape of governance, where agility, transparency, and efficiency are paramount, the integration of cutting-edge technology becomes imperative. Enter Microsoft Fabric – a transformative platform designed to revolutionize data democratization.

GIT Integration and CI/CD are typically seen as Pro developer topics and too much of an overhead to bother business users and citizen developers with. So how can this be solved in a platform like Microsoft Fabric, that's clear purpose is to offer full support for every user in an organization?

Power BI into Microsoft Fabric, Synapse Real-time Analytics into Fabric Real-Time Intelligence. If you’re wondering “why should I or my organization care about Fabric Real-Time Intelligence?” In this demo-led session, we’ll start our journey investigating the capabilities of Fabric Real-Time Intelligence from a Power BI Pro's desktop, discover a catalog of streaming sources in your organization,

In the ever-evolving landscape of governance, where agility, transparency, and efficiency are paramount, the integration of cutting-edge technology becomes imperative. Enter Microsoft Fabric – a transformative platform designed to revolutionize data democratization. This pre-conference session serves as an immersive exploration into the governance capabilities within Microsoft Fabric. Throughout this session, participants will delve into the multifaceted dimensions of governance, understanding its complexities and challenges in contemporary contexts. By leveraging the power of Microsoft Fabric and Microsoft Purview, attendees will uncover innovative strategies to streamline decision-making processes, enhance compliance frameworks, and foster greater accountability.

2023 has brought significant new capabilities to Power BI for source control and deployment automation - Developer Mode, TMDL, and Fabric Git Integration, to name a few. Features many Pro users have been demanding for years. With further extensions to those technologies planned for early 2024, this session is your opportunity to learn about the current state of source control for Power BI in a deep-dive workshop. The session will focus on professional development patterns in a collaborative environment. It will explain and show how all the latest Pro Dev features in Power BI can be utilized to set up practical team development workflows. Furthermore, attendees will understand where Microsoft's tooling still has gaps, and how external tools can be brought in to help.

Microsoft Fabric is the new kid in town for the full Data & Analytics stack in Azure, all in one Software as a Service offering. Combining workloads for Data Integration, Data Engineering, Data Science, Analytics and Reporting is meant to streamline and simplify managing the implementation and maintenance of your Data…

Join us for a discussion and ask-us-anything round with some members of the Fabric product team, Fabric CAT (Customer Advisory Team). Prepare your sessions around the topic of analytics in the Microsoft space..

As soon as your Fabric user base or usage pattern getting bigger, or you extend from pure Self-Service to Corporate BI, you definitely need a proper governance on your Fabric tenant. Out of the box, Fabric offers already functionality.

Are you ready to become analytics superhero? Hesitate no more! Microsoft Fabric is out and building analytics solution cannot get any easier! If you believe that the best way to learn is to learn by example, join us! We will build a new green field analytical solution using new all-in-one Microsoft Fabric that covers everything from data movement to data science, Real-Time Analytics, and business intelligence. You will enjoy a highly integrated, end-to-end, and easy-to-use product that is designed to simplify your analytics needs. We will start off the day with an overview of Microsoft Fabric, set up the environment and explain the scenario for the day. There is no use of analytics solution if there is no data. So, we will show how data is stored in Fabric, how you can integrate existing data, or ingest data from different sources. Here we will create landing zone and integrate existing data without making another copy! Once data is in Microsoft Fabric OneLake, we will process it efficiently while demonstrating best practices. Data engineers are used to Spark so it will be our tool of choice in creating different layers while tackling all the things you need to know. During this part, you will learn how to incrementally load data and make sure your cleansing is done right and in an effective and dynamic way! Rest assured, SQL folks are not forgotten! We will show how you can access the same data using SQL! Of course, there is no using loading data without a serving layer for your business needs. We will show you how you can use Lakehouse & Warehouse in Microsoft Fabric focusing on performance! Finally, we will show you how to build Power BI report using new consumption method reading data directly from the lake, called DirectLake, skipping data engines. If you do not know where to start, don’t worry, during this day we will explain every step and how Fabric helps you get the job done. Also, we will share the best practices seen at most customers! After this day you will have a clear understanding of how Fabric works and what components you must use for you own top notch analytical solution! Fabric is brand new, so instead of throwing terminology here, we are inviting you to join us and become the analytics superhero!

Power BI Models are running most efficient in Import mode. But there might be reasons to decide for DirectQuery mode like requirements for near real-time analysis or the amount of data being too large to fit into the desired capacity size.

Very often Governance is regarded as a serious blocker for the adoption of self-service tools like Power BI inside organizations. And thinking about securing data, limiting access and sharing and monitoring data usage feels sounds like proof for this.

Extend your Power BI governance functionality with Microsoft Purview. This session will show you how, what's in it for your PBI Landscape in terms of data catalog, -map and -lineage, data loss prevention, life cycles management and information protection. You will see live demos, watch outs and...

Continuous Intelligence combines the terms of Continuous Integration and Business Intelligence and aims at defining and implementing processes to keep your implementation and deployment processes for your BI applications flexible and as seamless as possible.

Continuous Intelligence is commonly used to describe approaches to constantly analyze data by applying machine-learning algorithms. But you can also understand it to be a combination of the terms of Continuous Integration and Business Intelligence.

Collecting data from and combining data out of different data sources is the essential requirement for BI. In times of cloud services this is getting a lot easier. Azure offers a variety of services that work hand in hand and can be fully automated using PowerShell or.NET. In this session we will show an example of how data from various sources such as FTP, databases or streaming data can be loaded via ADF and processed in Azure Data Lake. But getting the information out of Azure Data Lake still requires a special scill set and doesn‘t allow for usage by the broader audience or standard visualization tools. This is a typical requirement of Azure Analysis Services. But how to implement the model ? Can this even be automized in a way? We will present you one approach to accomplish this.

You are already using a BI solution and are interested in moving into the cloud? Or a BI solution is on your roadmap and you are not sure if cloud or on-prem is the right strategy for you? Then choose this session.