Nikil Prabhakar Nikil Prabhakar

Super Filter: The Ultimate Slicer Upgrade for Power BI!

Discover the Super Filter, the latest custom visual for Power BI that's packed with powerful features! 🌟

In this video, we explore how Super Filter takes slicing and filtering to the next level with:

  • Hierarchical Filtering: Effortlessly search and select across multiple levels.

  • Custom Pre-Set Filters: Save time with pre-configured selections for end-users.

  • Dynamic Measures Integration: Filter data based on measures like sales using sliders.

  • Flexible Panel Configurations: Customize dropdowns, checkboxes, toggles, and more.

  • Pop-Up Mode: Save page space and access filters only when needed.

With advanced formatting, sorting, and search capabilities, Super Filter is a must-have for creating smarter and more user-friendly dashboards. Watch the full demo and see how this visual can transform your Power BI experience!

#PowerBI #SuperFilter #DataVisualization #MicrosoftFabric

Read More
Nikil Prabhakar Nikil Prabhakar

Master Incremental Refresh in Dataflow Gen2

Struggling with lengthy data refreshes? Incremental Refresh in Dataflow Gen2 is the game-changer you need! 🚀

Why It’s Awesome


  • Refresh only new or updated data—save time and resources.

  • Perfect for large datasets and near real-time updates.


How to Set It Up


  1. Prepare Your Dataflow: Include a date column for filtering.

  2. Enable Incremental Refresh:Choose a date column and time period (e.g., last 7 days).Set bucket size (day, week, month) and change detection field.

  3. Schedule Refreshes: Use Data Pipelines for custom intervals as short as 5 minutes!


Though still in preview, Incremental Refresh offers a fast, efficient way to keep your data fresh without full refreshes.

For details, watch the video


Read More
Nikil Prabhakar Nikil Prabhakar

Is Deployment Pipeline Ready for Prime Time ?

In my latest video, I explore the current state of deployment pipelines in Microsoft Fabric, covering everything from setup and customization to the pros, cons, and recent updates.

With new features like deployment rules and enhanced parameter updates, these pipelines are getting closer to handling enterprise-level needs. But are they fully there yet? I dive into the key strengths and limitations (hello, Data Flow Gen2!), giving my take on whether deployment pipelines are ready for your production environments.

Read More