AI is transforming how businesses interact with data, and Microsoft Fabric’s AI Skill are at the forefront of this revolution. Imagine getting instant, data-driven answers without writing complex SQL or DAX queries. AI Skill allow decision-makers and analysts to bypass traditional reporting and receive real-time insights - all through natural language questions.

But how do they work? What are the benefits? And what challenges should you watch out for? In this article, we explore why AI Skill will reshape analytics, how they integrate seamlessly with Power BI, warehouses, lakehouses, and KQL databases, and the key considerations for accuracy and validation.

Microsoft is sunsetting Power BI Premium—mandatory migration to Fabric begins July 2024.

What you’ll learn:

✅Step-by-step migration guide (with automation scripts!)
⚠️Critical pitfalls to avoid (cross-region data = headache)
💡Pro tips to optimize costs in Fabric

Simplify your data models and reduce redundancy in Microsoft Fabric by using a bridge table—a lightweight connector that links multiple fact tables without duplicating dimensions. Learn how to implement this powerful technique in Lakehouse and Power BI for improved performance and scalability.

Unlock enterprise-grade version control and CI/CD for your Microsoft Fabric dashboards. Learn how to implement GitHub integration for real-time analytics, complete with code samples and deployment best practices.

Unlocking the Power of Direct Lake Mode: A Deep Dive into Microsoft Fabric's Game-Changing Feature

Want to handle billions of rows of data with lightning-fast queries? Microsoft Fabric's Direct Lake mode makes it possible, but only if you know how to harness its full potential. In this comprehensive guide, we reveal the critical optimization strategies that transform this powerful feature from a resource-hungry challenge into a streamlined data powerhouse. From sophisticated throttling mechanisms to advanced compression techniques, discover how to architect your data lake for peak performance while avoiding common pitfalls that can bottleneck your queries.

Learn the difference and what it takes to transition to Fabric successfully!

In this article, we’ll explore the power of X-Functions like SUMX, AVERAGEX, and more, and how they can transform your data modeling in Power BI. Let’s clarify what we mean and dive into practical examples to enhance your analytics workflows.

Downloadble Resources 

Managing stock levels dynamically is essential for effective inventory management. A crucial aspect of this task involves calculating cumulative quantities to track the balance of products over time. In this example, we have Sales and Purchasing tables, and we aim to create a Matrix visual in Power BI to display the purchased and sold quantities accurately. The ultimate goal is to dynamically track the stock balance (leftover products) at any given point by calculating the difference between cumulative purchases and cumulative sales.

You can download the files related to this article using the following link:
Materials 

Custom Sorting with Power BI

Custom sorting in Power BI can significantly enhance the clarity and impact of your data visualizations. However, users often encounter several challenges when setting up custom sorts. Here’s a look at some of the common hurdles and how to overcome them:

Step 1

Create a Custom Table with all the category either manually in Power Query or read from source.

Create a new column beside and provide the number in the order you want to arrange.

Step 2

Create a relationship between the column in actual table to the custom sort table.

Step 3

Create a column in Actual table with an expression.

Sort order = RELATED(CustomSortTable[Sort])

Step 4

Select the column you want to sort, and a “Column Tools” menu bar will appear at the top. Now Select the “Sort by column” and select the sort order column.

Unlocking the potential of Copilot

• Suggest content for a report
• Assisted Report Creation
• Prompt Data Insights
• DAX Formulation and Description

Greetings Power BI enthusiasts!

Are you ready to revolutionize the way you interact with your data? Say hello to Natural Language Query (NLQ) – your new best friend in the world of Power BI. In this blog post, we'll explore how NLQ can transform your data analysis experience and empower you to derive meaningful insights effortlessly.