Microsoft Fabric Pricing Explained: SKU Estimator, Capacity Units & Cost
TheBiMasters
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Microsoft Fabric Pricing Explained: SKU Estimator, Capacity Units & Cost
821 просмотр · 1 год назад
TheBiMasters
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821 просмотр · 1 год назад
Microsoft Fabric SKU Estimator Tool – Complete Walkthrough & Demo
Welcome to The BI Masters! In this video, we take a deep dive into the Microsoft Fabric SKU Estimator Tool — a powerful resource to help organizations, data professionals, and developers determine the right Fabric capacity SKU for their workloads.
Whether you're working on Power BI, Data Engineering, SQL Analytics, Event Streams, or Machine Learning, this estimator gives you a predictive way to understand how many F-units you'll likely need based on your workload expectations.
Who Should Watch This Video?
Power BI Architects
Data Engineers using Microsoft Fabric
BI Developers & Consultants
CTOs / Decision Makers exploring Fabric migration
Anyone planning Fabric workloads and needing clarity on sizing
Pricing Estimator link:
https://blog.fabric.microsoft.com/en-...
Data Agents in Fabric:
• The Future of Data: AI Agents in Microsoft...
Fabcon Blog:
https://www.microsoft.com/en-us/micro...
Support the Channel: If you found this video helpful, please:
✅ Like
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✅ Drop a comment with your questions or suggestions
✅ Share with your network of data professionals
Thanks for watching!
Stay tuned for more tutorials on Power BI, Microsoft Fabric, and the evolving world of data & AI!
Timestamps for Microsoft Fabric SKU Estimator Video
00:00 – Intro & Welcome
00:20 – What is the Fabric SKU Estimator?
00:50 – Why Use It: Benefits for Developers & Organizations
01:35 – Quick Call to Action: Subscribe & Other Videos
02:00 – Deep Dive Begins: Overview of the Estimator
02:30 – Understanding Data Questions (Size, Tables, Batches)
03:10 – Workload Categories: Standard vs Advanced
03:35 – Standard Workloads Explained
04:10 – Data Factory & Dataflow Gen2 – Important Notes
04:45 – Spark Jobs, Warehousing & Metadata Orchestration
05:20 – Ad Hoc SQL Analytics & Endpoint Users
05:45 – Data Science & ML Workloads
06:10 – Power BI: Users, Creators, Model Size
06:40 – Power BI Embedded Reporting
07:00 – Advanced Workloads: Real-Time Event Streams
07:30 – Understanding IoT & Event Hub Data
08:00 – Event Stream Destination & Connector Questions
08:30 – Eventhouse Setup: Telemetry, Hot Data, Duty Cycle
09:15 – Data Activator & Alerting Mechanism Setup
09:45 – Fabric SQL DB: Questions on V-Cores, Storage & Hours
10:15 – Tips for Estimating Your Fabric Workloads
10:50 – How SKUs Are Allocated Based on Usage
11:15 – Demo 1: Light Power BI-Only Use Case (F4 SKU)
11:45 – Demo 2: Mid-Size Customer with Spark, Warehouse & Power BI (F128 SKU)
12:30 – Demo 3: Large Customer with Full Workload (F512 SKU)
13:45 – Understanding Unused Capacity & Auto-Scaling
14:15 – Summary: Practical Tips for Effective Estimations
14:45 – Wrap-Up & Final Thoughts
15:10 – Outro: Like, Share & Subscribe!
#microsoftfabric #powerbi #dataengineering #microsoft #microsofttutorial