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ajaybabuinturi
Memorable Member
Memorable Member

When you are working on Power BI, one of the fundamental aspects of building a robust data model is, defining how different tables are related to each other. This relationship determines how filters and slicers affect the data, and one of the key settings you will encounter is the Cross Filter Direction. But what does this actually mean, and how does changing it impact your report’s behaviour?

 

I will walk you through in this blog the feature of Cross Filter Direction in Power BI. the types of filtering relationships available, the potential effects of changing these directions, and the advantages and considerations of each approach.

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SachinNandanwar
Super User

Ever wondered how to replicate SQL APPLY clauses in DAX ?

 

In the following article ,I propose a ingenious method to replicate the APPLY behavior in DAX.

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Ilgar_Zarbali
Super User
Super User

Welcome to Our November 2025 Newsletter!

We’re excited to bring you fresh insights this month as we begin a brand-new series on Scenario Analysis in Power BI.

Starting with this edition, I’ll be sharing a collection of articles that explore different approaches to scenario analysis and their practical applications in real business cases.

In this first article, we’ll focus on Simple Scenario Analysis — integrating What-If Parameters to dynamically adjust key variables and visualize how changes impact outcomes directly within Power BI.

Resources and files for this article are available for download here: https://1drv.ms/f/c/357fb5c8090fe1b2/EraKe-FIlR1EpTL1HYTpAREBYFALs9GKTMh7MnWebL6mWg?e=05Qg4J

In this analysis, let’s create a group (using Home → Enter Data) to organize all the measures we’ll be using.

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KarinSzilagyi
Impactful Individual
Impactful Individual

Have you ever tried explaining a Power BI issue and immediately realized you can’t share the dataset behind it?


Maybe the data is confidential, maybe it’s messy, or maybe you just don’t want to hand-craft a new example every time. Before you know it, you’re exchanging files, fixing paths, and losing momentum...


My solution? Generate a sample dataset using Power Query only!

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ajaybabuinturi
Memorable Member
Memorable Member

While developing a BI report, sometimes information is spread across multiple columns and other times it is packed into rows. There are three powerful Power Query transformations come into the picture, which are Pivot, Unpivot and Transpose.

In this blog, l will walk you through what they are, why they are useful and how they different.

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AnkitaaMishra
Super User
Super User

Power Query functions are the backbone of efficient and reusable transformations in Power BI.

In this hands-on post, we’ll explore three practical examples, from simple text cleanup to a dynamic pivot and automatic INR currency conversion.

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FabricPam
Administrator
Administrator

Wanting some accountability for studying for your Fabric certification exam.  Read on for details on how to join a study group.

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ajaybabuinturi
Memorable Member
Memorable Member

When you start building a report on Power BI platform, you can quickly see lines connecting tables in the Model View. It looks very simple but behind those lines lies the secret of how Power BI understands your data. What do these actually mean?LinkedIn Blog Cover Image.png

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Abhilash_P
Impactful Individual
Impactful Individual

The Translytical Task Flow feature marks a significant evolution in Power BI, From a read-only analytics tool to an interactive, action-oriented platform. By combining Fabric UDFs with new UI elements like Text and List Slicers, you can now build seamless workflows that empower users to act on insights instantly.

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ajaybabuinturi
Memorable Member
Memorable Member

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If you are exploring Power BI, you might already have come across the Drill Down and Drill Through options. At first, both look similar in this way they help you explore data in detail. But in real time, they work differently and are used for different purposes.

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Olayemi_Awofe
Advocate IV
Advocate IV

This post demonstrates how to build a synthetic, large-scale EdTech dropout prediction pipeline using Microsoft Fabric’s Data Engineering and Machine Learning workloads.
It implements the Medallion Architecture (Bronze → Silver → Gold) to produce ML-ready features that predict student dropout risk.

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FarhanJeelani
Super User
Super User

As a Fabric User, I've witnessed the evolution of data platforms. We've all managed the chaos: a data lake here, a data warehouse there, and a labyrinth of ETL pipelines connecting them. It's complex, costly, and slows us down.

Microsoft Fabric introduces a feature that fundamentally changes this paradigm: OneLake.

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FabricPam
Administrator
Administrator

The full live schedule for Fabric Data Days. Sessions also available on-demand. Read on for more details.

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marcelsmaglhaes
Super User
Super User

For years, Power BI developers lived with a limitation: version control was never truly part of the workflow.

 

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FabricPam
Administrator
Administrator

Certification exam discounts, live training sessions, Learn challenges and more. Read on for more details.

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