Peer Grønnerup
Technical Architect & Community Advocate at Tabular Editor
Bredsten, Denmark
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Peer is a seasoned Data & BI professional with over 15 years of experience delivering enterprise-grade analytics solutions across industries. He recently joined Tabular Editor as a Technical Architect & Community Advocate, where he helps shape the future of semantic modeling while supporting the global data community.
Previously, Peer was a key member of the twoday Microsoft Fabric expert group, where he helped define best practice frameworks for Fabric implementations - ranging from metadata-driven ingestion and transformation patterns to CI/CD pipelines and scalable ways of working across environments.
Peer’s involvement with Microsoft Fabric began in 2022 as part of the early private preview of what was then known as Project Trident. This early engagement has given him deep, practical insights into the platform’s architecture and evolution, making him a trusted authority on modern data engineering with Fabric.
Driven by a passion for community, innovation, and quality, Peer regularly shares his knowledge through blogs, talks, and open-source contributions - empowering others to unlock the full potential of their data platforms.
Area of Expertise
Topics
Vibe Coding a Power BI Embedded Portal - From Zero to Hero in 60 Minutes
Most people think Power BI Embedded is only for developers - but it doesn’t have to be. In this live demo session, we’ll build a working custom portal in just 60 minutes.
You’ll see how to:
- Set up Power BI Embedded quickly
- Design a portal 100% focused on your users’ needs
- Improve navigation and content discovery far beyond the default Power BI Service
- Deliver a seamless, branded experience for internal or external users
This session will open your eyes to what’s possible with Power BI Embedded, and how you can use it to improve adoption without writing thousands of lines of code.
Part II Fabric Automation All the Way: A Deep Dive into Automating Your Fabric Data Platform
Get ready for a comprehensive, demo-packed session that will walk you through the full automation journey of a Fabric Data Platform solution. From blueprint to reality, we’ll explore how to automate every step of the process - from design and setup to implementation, deployment, and documentation.
In this deep-dive session, you’ll learn how to:
Automate the setup of your Fabric Data Platform using code.
Implement a metadata-driven approach for efficient data ingestion and preparation.
Automated building a foundation for your semantic models.
Leverage popular tools such as GitHub and Azure DevOps to streamline your CI/CD pipelines.
We’ll guide you through both low-code and pro-code scenarios, demonstrating a variety of approaches and best practices to ensure that automation accelerates your development, minimizes risks, and reduces costs. With insights into Fabric CLI, Fabric REST APIs, the fabric-cicd Python library, and more, you’ll walk away equipped with the tools, scripts, and knowledge you need to integrate automation into your data platform.
Whether you're just starting with automation or looking to optimize your existing processes, this session will give you the tools you need to take your Fabric Data Platform to the next level!
Fabric Automation All the Way: A Deep Dive into Automating Your Fabric Data Platform
Get ready for a comprehensive, demo-packed session that will walk you through the full automation journey of a Fabric Data Platform solution. From blueprint to reality, we’ll explore how to automate every step of the process - from design and setup to implementation, deployment, and documentation.
In this deep-dive session, you’ll learn how to:
Automate the setup of your Fabric Data Platform using code.
Implement a metadata-driven approach for efficient data ingestion and preparation.
Automated building a foundation for your semantic models.
Leverage popular tools such as GitHub and Azure DevOps to streamline your CI/CD pipelines.
We’ll guide you through both low-code and pro-code scenarios, demonstrating a variety of approaches and best practices to ensure that automation accelerates your development, minimizes risks, and reduces costs. With insights into Fabric CLI, Fabric REST APIs, the fabric-cicd Python library, and more, you’ll walk away equipped with the tools, scripts, and knowledge you need to integrate automation into your data platform.
Whether you're just starting with automation or looking to optimize your existing processes, this session will give you the tools you need to take your Fabric Data Platform to the next level!
Kickstart and Master Microsoft Fabric Lakehouse: From Setup to CI/CD
Unlock the full potential of your data with our immersive session designed for data professionals and enthusiasts. This presentation offers an in-depth, metadata-driven exploration of Microsoft Fabric Lakehouse, demonstrated through the real-world success story of GLS, a global leader in logistics.
In this dynamic session, we'll guide you through an end-to-end demonstration of creating and managing a Data Lakehouse using Microsoft Fabric, based on GLS's journey to transforming their data architecture. From setting up the initial infrastructure to deploying a fully automated and scalable data pipeline, you'll see firsthand how raw data can be seamlessly transformed into valuable insights, just as GLS did to enhance their operational efficiency.
Getting Started with Your Project:
Infrastructure Setup: Learn how to set up and configure essential components such as workspaces and lakehouses. We'll provide step-by-step instructions, sharing how GLS established a solid foundation for their project.
Initiating Git Integration: Discover how to integrate Git for version control and collaborative development from the outset. We'll cover best practices for managing your codebase, inspired by GLS's approach to ensuring a smooth development experience.
Ongoing Development and CI/CD: Understand the full lifecycle of your data project by implementing continuous integration and continuous deployment (CI/CD) processes. Learn how to streamline deployment and automate testing, leveraging lessons from GLS’s success.
Key Takeaways:
Automated Data Processing: Discover the power of automation in data cleaning, validation, and deduplication with PySpark. Learn how these processes can significantly reduce manual effort and improve data quality, as demonstrated in GLS's case.
Effective Data Modeling: Gain insights into articulating business logic for facts and dimensions using SparkSQL. Understand how to structure your data models to better meet business needs and drive actionable insights, drawing from GLS's real-world application.
By the end of this session, you'll have a comprehensive understanding of how to transform raw data into gold using Microsoft Fabric Lakehouse, just as GLS has done. You'll also be equipped with the knowledge to get your project off the ground and ensure its long-term success. Don’t miss this opportunity to enhance your data management skills and unlock the true potential of your data assets. Join us and take a step towards revolutionizing your data architecture.
Transforming Data into Gold: A Live Demonstration of Microsoft Fabric Lakehouse
Dive into the dynamic world of data management with this talk, where we'll unveil a live, end-to-end demonstration of a Metadata-Driven Microsoft Fabric Lakehouse. This session is designed for data professionals eager to explore innovative solutions in data architecture.
Experience first-hand how to transform raw data into valuable insights within a span of 60 minutes, utilizing a robust Lakehouse architecture on Microsoft Fabric. Our open-source framework is tailored to boost productivity and elevate development quality in crafting and managing Data Lakehouse solutions.
Key Highlights:
- Discover how to automate data cleaning, validation, and deduplication using PySpark's robust capabilities.
- Learn to articulate business logic for facts and dimensions effectively through SparkSQL.
Attendees will get the code and leave with practical knowledge and insights into implementing a Lakehouse, making data operations more efficient, and harnessing the full potential of Microsoft Fabric.
Automating the Full Lifecycle in Microsoft Fabric: From Setup to Scalable Data Solutions
Unlock the full potential of Microsoft Fabric in this demo-driven session designed for data professionals seeking to streamline and automate their workflows. Explore how to automate every stage of the Fabric solution lifecycle—from initial setup and metadata-driven workflows to seamless enterprise-grade CI/CD pipelines using Azure DevOps and GitHub.
Leveraging extensive real-world experience from multiple Fabric lakehouse implementations, this session delivers practical insights, actionable tips, and solutions to overcome common obstacles, speeding up and simplifying project deployment. You’ll discover how to:
- Harness the power of Fabric REST APIs and the Fabric CLI for efficient automation and streamlined maintenance.
- Use Fabric databases as robust metadata stores to automate data ingestion, preparation, and modeling processes.
- Automate the deployment of critical components such as notebooks, data pipelines, and semantic models with Python and the fabric-cicd library .
- Integrate Azure DevOps and GitHub actions to automate workspace setup, feature branching, and end-to-end CI/CD pipelines for Fabric projects.
With live demos and real-world examples, this session equips developers, data engineers, and architects with the knowledge and tools needed to optimize, automate, and scale solutions efficiently across environments. Join us to revolutionize how you deploy, manage, and scale data solutions in Microsoft Fabric!
Data Saturday & Fabric Friday Holland 2025 Sessionize Event
European Microsoft Fabric Community Conference 2025 Sessionize Event
Microsoft Fabric Community Conference Sessionize Event
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