Unlock the full potential of teamwork in Microsoft Fabric! Discover how a simple, effective Git branching strategy—paired with smart workspace design—can transform collaboration, streamline development, and empower your teams to deliver high-quality analytics solutions faster. Whether you’re a data engineer, developer, or business user, this article reveals practical steps to minimize conflicts, boost agility, and bring software engineering best practices to your data projects in Microsoft Fabric.

Over the last few months, I’ve been diving deep into Microsoft Fabric — especially the analytics side of things. After passing the DP-700, I set my sights on its counterpart: the DP-600: Fabric Analytics Engineer Associate certification.

I’m excited to share that I’ve officially cleared the DP-600 exam — and in this article, I’ll walk you through my preparation strategy, what the exam covers, and some tips to help you succeed if you’re planning to take it next.

If you’re diving into Microsoft Fabric, you’ve likely heard about its powerful capabilities for unified analytics. One of its standout features? Notebooks. Whether you’re coming from a data science, engineering, or BI background, notebooks provide a flexible space to explore, transform, and visualize data — all within the Fabric ecosystem.

In this guide, we’ll walk through how to get started with Notebooks in Microsoft Fabric — from creating your first notebook to running code and visualizing results. No fluff, just a practical walkthrough to help you hit the ground running.

This post is second in series that helps Partners and Customers plan Fabric Configuration for new and existing deployments. You can find the first post in this series here : 

https://community.fabric.microsoft.com/t5/Fabric-platform-Community-Blog/Microsoft-Fabric-CAF-Config...

Thinking of taking the DP-700 exam? Here’s how I passed it—and why it could change your career in data engineering with Microsoft Fabric.

DP-600 is a Microsoft certification called:
Implementing Analytics Solutions Using Microsoft Fabric

In short: If you want to prove that you can work with modern data tools and build end-to-end data solutions, this exam is for you.
Learning Microsoft Fabric is exactly what you need to pass it.

 What can you do with Fabric?

Here are just a few examples:
• Combine messy data from different places (Excel, SQL, APIs)
• Clean and prepare it with easy tools
• Visualize it in Power BI (right inside Fabric!)
• Run machine learning models
• Share reports with your team instantly
 Let’s break down the core building blocks of Fabric

 Tool  What it does ?

Lakehouse A place to store raw + processed data (like a folder in the cloud, but smarter)
Warehouse For structured, SQL-style analytics (think: tables and rows)
Notebook A coding environment for data science and AI
Power BI Build interactive dashboards and reports
Pipelines Automate data flows from source to report
Don’t worry if these sound new — we’ll explain each of them one by one in the next articles.

Microsoft Fabric is:
• A one-stop platform for all your data tasks
• Perfect for beginners who want to level up
• The core tool to learn if you're aiming for the DP-600 exam
• Easier than it sounds .. and kinda fun once you get into it 

let’s connect on LinkedIn: https://www.linkedin.com/in/rufyda-abdelhadirahma/

Written in a friendly, simple style — for real beginners.

Facing issues with data integration, performance, or governance in Microsoft Fabric? This guide breaks down the most common challenges and offers practical, real-world solutions to help you get the most out of your Fabric environment.

This blog is first in a series that is intended to help readers with most commonly used configuration options available when working with Microsoft Fabric. The guidance in this article is aligned to Microsoft Cloud Adoption Framework's 8 design areas.

Interested in learning the key differences between the new org apps (preview) and traditional workspace apps? Click here for an overview of the differences and a guide to creating your first org app.

In this article, I will demonstrate how to dynamically load a CSV file with space-delimited headers into a Lakehouse as Delta tables.

Let's say you have one or more CSV files and you want to convert them to Parquet format and also upload them to a Lakehouse table. The available options for this in the Fabric environment are either through a notebook or a data pipeline but there are aren't any pre-built out-of-the-box solutions.

For instance, you might have an application that generates CSV files, and you want to upload the CSV data directly to the Lakehouse at that moment. One approach could be to make application store the CSV files in ADLS2 storage and use an event-based pipeline triggered by storage events to upload the data to the Lakehouse. However, what if storing the files on cloud storage isn't an option and the files will always be stored on a on prem storage ?

Article was originally publised here

One Microsoft Fabric announcement during Microsoft Ignite that I think should get more attention is the fact that Sustainability data solutions in Fabric is now Generally Available (GA).

For those who are not aware Sustainability data solutions in Fabric is one of solutions offered as part of the Industry Solutions workload. Which is now also GA and officially recognized as a Microsoft Fabric workload.

Microsoft Fabric architecture diagram with Industry Solutions highlighted

I intend to cover why I think this is significant in this post. Along the way I share some links.