Dhyanendra Singh Rathore
bits2BI | Power BI Tech Lead
Stockholm, Sweden
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Dhyan is a Microsoft BI expert based in the vibrant city of Stockholm, Sweden. With over a decade of hands-on experience across Microsoft technologies—including Power BI, Fabric, Azure Data Platform, Power Platform, and Databricks—he brings deep technical expertise to his role as Power BI Tech Lead at Autoliv.
Passionate about empowering analytics teams, Dhyan thrives on guiding and inspiring others to build impactful, data-driven solutions. He actively shares his knowledge through blog posts, community events, and speaking engagements. A strong believer in collaboration, he enjoys connecting with fellow BI enthusiasts and sparking conversations around Power BI and Microsoft Fabric. Dhyan is driven by a mission to make complex data concepts not only accessible but also exciting.
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Automated Data Validation in Power BI with Power Automate
Ensuring the accuracy of data refreshes in Power BI is a critical challenge that every BI team faces. The trouble increases manifold if your data sources are unreliable and data changes often unpredictably, such as manual files or a non-cooperative data source team. These scenarios demand data validation before your reports are refreshed. The manual validation process can be time-consuming and prone to errors, leading to unreliable insights and a loss of trust from users.
In this session, discover how leveraging Power Automate can revolutionize your data validation process. We will discuss and demonstrate an automated solution to validate and assess the impact of data refresh on your report. At the end of this session, you'll have the foundational understanding and technical insights necessary to build a solution for your data validation goals. We will cover the following topics:
• Why a manual and SQL-based validation process doesn’t always work in Power BI
• Why do we need an automated validation solution
• How do we build an automated solution: Power Automate and Power BI components
• Technical architecture
• Demo
Target audience: Power BI Developers, Data Analysts, QA Analysts
Session duration: 40 - 50 minutes
Session Level: Intermediate (200)
Enforcing Power BI Best Practices with Azure DevOps
One of the major issues Power BI Developers faced was synchronizing their efforts while working on the same report and model. This was critical so they didn't overwrite each other's changes. Thanks to Fabric and recent DevOps developments, those issues are almost a thing of the past now. Fortunately, introducing DevOps capabilities to Power BI has opened up new possibilities like integration, automation, and quality control. For instance, we can now automate the deployment of Power BI reports and models, ensuring that the latest version is always available.
In this session, we will discuss why and demonstrate how to integrate Power BI best practices in an Azure DevOps build pipeline. This integration, which guarantees best practices for all semantic models and reports within a Fabric workspace, can prevent common mistakes and enhance team efficiency. By enforcing these best practices, you can play a crucial role in improving the overall quality of your Power BI reports.
Target audience: Power BI Developers, DevOps Professionals
Session duration: 40 - 50 minutes
Session Level: Intermediate (200)
Insights and actions into your team's Power BI best practices with Semantic Link Labs
Power BI best practices offer a quick and reliable method for finding and addressing potential errors and common pitfalls. These practices have helped developers maintain quality, consistency, and performance in their data models and reports. With the advent of community tools, evaluating the best practices for a semantic model and report became relatively straightforward. Most of these tools require manually scanning the model and reports individually.
However, there's a new hero on the scene now, Semantic Link Labs for Fabric notebooks. In this introductory session, we will discuss and demonstrate the capabilities of Semantic Link Labs to evaluate and visualize best practices for semantic models and reports. After this session, you will be able to:
• define semantic link labs' best practice analyzer capabilities
• evaluate best practices for individual workspaces and across the workspaces
• visualize and derive insights out of your best practices analysis
• address the findings with your teams
Target audience: Power BI Developers, Data Analysts, QA Analysts
Session duration: 40 - 50 minutes
Session Level: Introductory (100)
No More Overwrites: DevOps Strategies Your Power BI Teams Deserve
Collaboration shouldn't feel like walking on eggshells—especially not for Power BI teams. Yet, overwriting each other's work, losing changes, and lacking version control have been all-too-common headaches. But that's changing.
With the rise of Microsoft Fabric and the growing power of Azure DevOps, Power BI developers finally have the tools to ditch chaotic workflows and embrace structured, scalable collaboration. The only challenge? Figuring out the strategy that actually fits your team.
In this session, we'll cut through the noise and explore practical DevOps approaches tailored to Power BI. We'll break down the pros and cons of different strategies—from lightweight setups to full-blown pipelines—so you can find the right balance between control and complexity.
By the end, you'll know how to:
• Unlock Azure DevOps features specifically for Power BI
• Choose a DevOps path that aligns with your team's tools and skills
• Build a process that prevents overwrites and promotes true teamwork
Whether you're just starting your DevOps journey or looking to upgrade your current setup, this session will arm you with the strategies your Power BI team truly deserves.
Target audience: Power BI Developers, DevOps Professionals
Session duration: 50 - 60 minutes
Session Level: Intermediate (200)
The Ultimate Power BI Productivity Boost with TMDL and Fabric Studio
Power BI development just got a significant upgrade—and it's about to change the way you work.
Imagine bulk-copying entire tables and measures between models in seconds. Renaming dozens of measures or applying find-and-replace logic across your DAX—all at once. Or creating perspectives and implementing object-level security without ever leaving Power BI Desktop. Now, imagine publishing changes to measures and tables without having to republish the entire PBIX file. It's not a fantasy—it's TMDL.
Welcome to the Power BI developer mode, we've all been waiting for. With TMDL (Tabular Model Definition Language) and the sleek power of Fabric Studio, you'll unlock a new level of productivity, precision, and control.
In this session, you'll learn how to:
• Accelerate your Power BI workflow with real-world TMDL techniques and tips
• Differentiate between TMDL and TMDL scripts
• Edit and manage models with surgical precision using Fabric Studio
Whether you're a seasoned developer or just diving into Power BI's modeling layer, this session will equip you with tools and tips to transform the way you build.
Say goodbye to repetitive tasks and hello to true Power BI development freedom.
Target audience: Power BI Developers
Session duration: 40 - 50 minutes
Athens Power BI User Group User group Sessionize Event Upcoming
Data Moshpit 2025 Sessionize Event Upcoming
Power BI Next Step Sessionize Event Upcoming
Global Power Platform Bootcamp 2025 - Manila Philippines Sessionize Event
Data Saturday #49 - Denmark - 2025 Sessionize Event
Data Community Day Austria 2025 Sessionize Event
DATA BASH '24 Sessionize Event
Microsoft Fabric Global Online Conference Sessionize Event
Microsoft Fabric Cafe User group Sessionize Event
Data Saturday Stockholm 2024 Sessionize Event
AI42 Conference Sessionize Event
PASSMN Monthly Meeting 2024 User group Sessionize Event
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