Microsoft Fabric: Do k-Means clustering in spark; analyze in Power BI | Integrated Machine Learning

Altcoins, Ripple, XRP
In this video, we use Integrated Spark in Microsoft Fabric for Machine Learning. k-Means clustering in Python is used to do clustering and Power BI is used to analyze the clusters.

Microsoft has Microsoft Fabric, the next-generation Analytic Platform. Check out how to enable it on Power BI Service. How to start a Fabric (Preview) trial
The Microsoft Fabric Platform provides customers with a SaaS-ified, open, lake-centric(One Lake), full-featured data, analytics, and AI platform that meets all their data estate needs. Power BI, Synapse Data Warehouse, Data Factory, Spark, and Notebook all under one platform

00:00 Problem Statement
02:30 Work on Notebook, Load Data
05:30 Use k-Means clustering
9:30 Save files in Lakehouse
11:00 Save table in Lakehouse Using Spark DataFrame
14:30 Test using SQL
15:20 Analyze in Power BI

Microsoft Documentation link

GIT File link –
All files:

Power BI – Azure Free Tier, Create Azure Data Lake Gen 2 and connect that in Power BI:

Get Azure SQL DB and Configure it on Power BI:

Official Document:
Video from GuyinaCube:
Buy a Microsoft Fabric subscription:
Enable Fabric:

🔵 What is Microsoft Fabric
Microsoft Fabric is an all-in-one analytics solution for enterprises that covers everything from data movement to data science, Real-Time Analytics, and business intelligence. It offers a comprehensive suite of services, including data lake, data engineering, and data integration, all in one place.

With Fabric, you don’t need to piece together different services from multiple vendors. Instead, you can enjoy a highly integrated, end-to-end, and easy-to-use product that is designed to simplify your analytics needs.

How to enable Fabric, find details –
Microsoft Fabric licenses details -

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