MENU

Fun & Interesting

DP-700 : 🚴‍♂️ Real-Time Bicycle Data Analytics with Microsoft Fabric | End to End Project

D3- DeepDiveDev 176 lượt xem 3 months ago
Video Not Working? Fix It Now

🔴 Want to master real-time data analytics? Learn how to process and visualize streaming bicycle data using Microsoft Fabric’s Real-Time Analytics, KQL, and Power BI! This hands-on tutorial will guide you through setting up your environment, ingesting data into the Real-Time Hub, transforming event streams, and creating dynamic dashboards for live insights.

📌 What You'll Learn in This Tutorial:
✅ Set Up Your Environment – Configure Microsoft Fabric to work with real-time data
✅ Ingest Data in the Real-Time Hub – Stream bicycle data, including bike IDs, timestamps & locations
✅ Transform Events & Publish Event Streams – Process live data to make it more meaningful
✅ Apply Update Policies in Eventhouse – Automate transformations for real-time insights
✅ Write KQL Queries – Extract valuable insights with Kusto Query Language (KQL)
✅ Create Alerts on Live Data – Detect anomalies & trigger actions instantly
✅ Build a Real-Time Dashboard – Visualize insights in a dynamic dashboard
✅ Explore Data Visually in Real-Time – Gain actionable intelligence from live metrics
✅ Generate Power BI Reports from KQL – Integrate real-time insights with business reporting
✅ Set Alerts on Event Streams – Automate notifications based on live data changes

🚀 Whether you're a Data Engineer, Analyst, or Developer, this tutorial will help you harness the power of real-time analytics to drive smarter decision-making!

📢 Why Watch This Video?

Hands-on demonstration with step-by-step guidance
Real-world use case using bicycle tracking data
Practical skills in Microsoft Fabric, KQL, and Power BI
Boost your career with in-demand real-time analytics expertise
💡 🔥 Don't Miss Out! Smash the LIKE button, SUBSCRIBE, and TURN ON NOTIFICATIONS for more deep-dive tutorials!

📢 Tell us in the comments: How do you plan to use real-time analytics in your projects?

#MicrosoftFabric #RealTimeAnalytics #KQL #PowerBI #Eventhouse #DataStreaming #BigData #DataEngineering #MachineLearning #Azure #TechTutorial

Comment