Fabric Influencers Spotlight August 2024
Welcome to the Fabric Influencers Spotlight, a recurring monthly post here to shine a bright light on the places on the internet where Microsoft MVPs & Fabric Super Users are doing some amazing work on all aspects of Microsoft Fabric.
The Microsoft Fabric Community team has created the Fabric Influencers Spotlight to highlight and amplify blog posts, videos, presentations, and other content related to Microsoft Fabric. We’ve cultivated submissions from members of Microsoft MVPs & Fabric Super Users from the Fabric community that cover the Fabric Platform, Data Engineering & Data Science in Fabric, Data Warehousing, Power BI, Real-Time Intelligence, Data Integration, Fabric Administration & Governance and Databases.
Microsoft Most Valuable Professionals, or MVPs, are technology experts who utilize their deep knowledge of Microsoft products and services to bring together diverse platforms, products, and solutions, to solve real world problems, and to bring “leading edge” content to the data community. To learn about the Microsoft MVP Award and to find MVPs, visit the official website: https://mvp.microsoft.com/.
Fabric Super Users are the heroes of the Fabric Community. They contribute helpful answers, write informative blog posts, post data stories and are key contributors to the Fabric product via engagement with the product group. To learn more about becoming a Fabric Super User, visit our most recent post: What is the Fabric Super User program?
Introductory
Andrei Khaidarov, LinkedIn
Affiliation: Microsoft MVP & Fabric Super User
Introducing Microsoft Fabric: Your All-In-One Data Analytics Platform
This post introduces Microsoft Fabric, an all-in-one data analytics platform that simplifies the process of managing and analyzing data. It highlights Fabric’s user-friendly design, instant setup, and integrated features like Data Factory, Synapse Data Engineering, and Power BI, making it an ideal solution for businesses of all sizes to streamline their analytics workflows and gain valuable insights quickly.
Data Warehouse
Jon Stjernegaard Vöge, Community Profile, LinkedIn
Affiliation: Fabric Super User
Live Data Write-Back to Fabric Data Warehouse from Power BI w. Power Apps and Power Automate
This blog outlines how you can achieve Data Write-Back to Fabric Data Warehouses from the Power Platform. The blog further shows how such a Power Platform solution might be integrated into a Power BI report, with live feedback.
Christian Cote, LinkedIn, Twitter
Affiliation: Microsoft MVP
Unleashing the Power of Fabric Data Warehouse Copilot
Fabric Data Warehouse Copilot is an AI assistant specifically designed to assist with data warehousing tasks. It leverages the power of generative AI to give intelligent insights, automate key aspects of data management, and enhance the overall efficiency of SQL developers and analysts.
Andy Cutler, Twitter, LinkedIn
Affiliation: Microsoft MVP
Fabric Warehouses and Deploying Models using Dbt
Microsoft Fabric Warehouse is a Software-as-a-Solution service to build Data Warehouses for cloud-scale analytics. Dbt is a data transformation tool that enables data analysts and engineers to transform data in a cloud analytics warehouse. In this video we’ll be diving into the integration of Fabric Warehouses and Dbt including the use cases, caveats and hands-on demonstration.
Power BI
Sergii Zelenko, Community Profile, LinkedIn
Affiliation: Fabric Super User
Analyzing Existing Microsoft Forms in Power BI
If you want to analyze Microsoft Form data in PowerBI, there is the right way to create a Form. However, what should you do if you already have an existing Microsoft Form? What if you already shared the link with many people and keep collecting responses? In this article, I’ll show a simple yet powerful way to save your work and still be able to easily analyze the data in Power BI..
Wyn Hopkins, LinkedIn, Twitter
Affiliation: Microsoft MVP
New Power BI Number Formatting including Visual Level Calculations
Demonstrating the excellent new visual level formatting feature in the August Update of Power BI desktop
Data Engineering
Kay Sauter, BlueSky, LinkedIn
Affiliation: Microsoft MVP
Getting AdventureWorks to Fabric
With this post, I’m starting a series on how to bring AdventureWorks2022 on Fabric. On this journey, I’ll be using AdventureWorks to explain concepts and you’ll learn on this adventure how to get on a lake with a boat and land it to a warehouse within Fabric. I will be using Python, so you’ll be learning how to build a lakehouse and a warehouse.
Jihwan Kim, LinkedIn
Affiliation: Microsoft MVP
Fundamental Skills for Transforming Data in Fabric
I detail my journey of learning to transform data within Fabric using tools like Fabric Notebook and Data Pipeline, particularly after loading data into Fabric Lakehouse. Recognizing that Power BI developers might feel overwhelmed when transitioning from Power Query Editor to Fabric, I plan to share my experiences and insights as I progress from a beginner to a more advanced level with these tools. In this post (and also in the future posts), I’ll explore the pros and cons of various methods, the challenges I faced, and the strategies I used to become proficient in Data Flow Gen 2, Data Pipeline, and Fabric Notebook.
Amit Chandak, Twitter, LinkedIn
Affiliation: Microsoft MVP & Fabric Super User
Microsoft Fabric Notebooks: Essential PySpark Functions and Commands
This blog post introduces you to a powerful new feature that is in preview today and allows you to easily include Power BI reports directly in your Microsoft Fabric Notebooks.
Data Science
Sandeep Pawar, Twitter
Affiliation: Microsoft MVP
Use AI Skills As Cell Magic In Fabric Notebook
The blog describes how to use the Fabric AI Skills endpoint programmatically and create cell magic for users to ask natural language questions about the data in lakehouse and warehouse tables
Fabric Platform, Administration & Governance
Kevin Chant, Twitter, LinkedIn
Affiliation: Microsoft MVP
Update That Can Help You Create Your Own Microsoft Fabric Tenant
Covers an update that can help you create your own Microsoft Fabric environment. Which you can consider a follow-up to previous posts.
Ignacio Barrau, Twitter, LinkedIn
Affiliation: Microsoft MVP
Estamos atravesando tiempos que avanzan muy rápido en materia de desarrollos de tecnología, software y datos. Especificamente, en el universo de datos podemos apreciarlo en el cambio constante que ocurre a las necesidades de cada empresa en construcciones analíticas.
Entre los más ocurrentes tenemos problemas que hablan de encontrar escalabilidad con menor costo, accesibilidad a todo tipo de usuario y reducir los data silos. Si están pensando en usar Fabric o ya lo usan. Mirroring puede ayudarnos en parte con estos problemas.
Nelson Lopez Centeno, Twitter, LinkedIn
Affiliation: Microsoft MVP
Generates HTML documentation files for a semantic model published in the Power BI / Fabric service.
It is a notebook that uses Semantic Link to generate documentation for a semantic model published in a Fabric or Power BI workspace. The documentation is saved as HTML files, with a main page displaying a diagram of the model. You can click on the box representing a table to view its details. For each table, the columns, measures, and a diagram of the table’s relationships are shown. If the table contains a calculation group, the calculation items are also displayed.
Real-time Intelligence
Tom Oefler, Community Profile, LinkedIn
Affiliation: Fabric Super User
How to Team Up Power BI with Fabric KQL to unlock Graph Insights
Graph data structures are a great way to represent and analyse relationships between data entities. In this blog article we investigate how to leverage Power BI and Fabric KQL to extract valuable insights from our data with such graph data structures.
Thanks for reading & we’ll see you next month!
That’s all for this month’s spotlight on the Microsoft Fabric Influencers. We wanted to extend our thanks to the MVPs and Super Users whose expertise continues to enrich the Fabric community. We anticipate the innovative ideas and valuable insights that will emerge in the coming months and invite everyone to stay engaged here on the Fabric Community Platform. Together, we will continue to deliver knowledge and collaboration that empowers every member of our community to achieve more. Stay tuned!
