OneLake File Explorer: Update via Excel made Easy | Microsoft Fabric Blog | Microsoft Fabric
How to enable Copilot in Fabric for Everyone | Microsoft Fabric Blog | Microsoft Fabric
Automate Fabric Data Warehouse Queries and Commands with Data Factory | Microsoft Fabric Blog | Microsoft Fabric
New Fabric certification and Fabric Career Hub
How to grant individual users access to create Fabric items/workloads - FourMoo | Power BI | Data Analytics
New Fabric certification and Fabric Career Hub | Microsoft Fabric Blog | Microsoft Fabric
Copilot in Fabric (preview) is available worldwide  | Microsoft Fabric Blog | Microsoft Fabric
Use Fabric Notebook to monitor Power BI semantic models - Phil Seamark on DAX
Unveiling the Gotcha: The Hidden Consequences of Disabling Fabric in Your Organization
Using Microsoft Fabric’s Lakehouse Data and prompt flow in Azure Machine Learning Service to create RAG applications | Microsoft Fabric Blog | Microsoft Fabric
Fabric Notebook Concurrency Explained — Advancing Analytics
Lakehouse vs Data Warehouse vs Real-Time Analytics/KQL Database: Deep Dive into Use Cases, Differences, and Architecture Designs | Microsoft Fabric Blog | Microsoft Fabric
Prebuilt Azure AI services in Fabric | Microsoft Fabric Blog | Microsoft Fabric
Microsoft Fabric December 2023 Update | Microsoft Fabric Blog | Microsoft Fabric
Using Microsoft Fabric’s Lakehouse Data and prompt flow in Azure Machine Learning Service to create RAG applications | Microsoft Fabric Blog | Microsoft Fabric
Microsoft Fabric: Use Copilot to Generate Data Model Synonyms - BI Insight
Rule Them ALL! Create a OneLake shortcut to SQL Server or DAX calculated table! - Data Mozart
Semantic Link: Data validation using Great Expectations | Microsoft Fabric Blog | Microsoft Fabric
Semantic link is a feature in Microsoft Fabric that establishes a connection between semantic models (aka Power BI datasets) and Synapse Data Science.
Ensuring data quality in the semantic model, also known as the diamond layer
high-quality data assets in the semantic model lead to more accurate and reliable insig
the diamond layer, is crucial for organizations to make informed decisions based on accu
Microsoft Fabric adoption roadmap: Business alignment - Power BI
With effective business alignment, the data culture and data strategy enable business users to achieve their business objectives.
strategic importance of data and analytics in achieving measurable progress toward business goals.
engaged executive sponsor who provides
Structured and consistent processes to validate, deploy, and support solutions.
regularly update existing solutions
Effective and consistent
Plan regular alignment meetings
concise communication and documentation that's formatted and well organized.
visible roadmap
iteratively define high-level desired outcomes
backlog of solutions that help you to achieve
Design, develop, test, and deploy solutions
organize short, quarterly executive feedback sessions
promptly identify any potential changes in the business strategy
Assign a responsible team: A working team reviews feedback and organizes re-alignment sessions
Create and support a feedback process
Measure the success of business alignment
you should understand that solutions and initiatives will change over time.
shared awareness
effectively balances
Productive and solution-oriented
clear and unified understanding
Implement medallion lakehouse architecture in Microsoft Fabric - Microsoft Fabric
The future of customer understanding through Microsoft Fabric
Fabric Python Helper Functions
Connect to Fabric Lakehouses & Warehouses from Python code
Create charts using Vega in Microsoft Fabric Notebook - Phil Seamark on DAX
Visualize Power BI Refresh using Semantic-link - Phil Seamark on DAX
Microsoft Fabric: Generating Reports with Copilot - BI Insight
Integrate your SAP data into Microsoft Fabric | Microsoft Fabric Blog | Microsoft Fabric
Microsoft Fabric adoption roadmap: Change management - Power BI
Effective change management improves adoption and productivity because it:
easy to see solutions
Here are some examples of solution-level changes.
Changes in calculation logic for KPIs or measures.
Changes in how master data or hierarchies for business attributes are mapped, grouped, or described.
Changes in data freshness, detail, format, or complexity.
Controlling Direct Lake Fallback Behavior
An easy way to transform/clean your data using a Notebook in Microsoft Fabric - FourMoo | Power BI | Data Analytics