Microsoft Fabric Explained in Telugu | Data Engineer, Analyst, Scientist Roles & Tools

🎯 Microsoft Fabric Roles Explained – Data Engineer, Data Analyst, Data Scientist | Telugu + English

ఈ వీడియోలో మనం Microsoft Fabric లో Data Engineer, Data Analyst, మరియు Data Scientist roles gurinchi full clarity tho telusukundam – responsibilities, real-time use cases, and tools, valla roles lo ela use chestaru ani.

🔥 Telugu + English lo explain cheyyadam valla, beginners ki kuda easy ga artham avutundi.

📌 What You'll Learn:
🛠️ Data Engineer

Roles: Data ni collect cheyyadam, ETL pipelines design cheyyadam

Tools: Data Factory, Dataflow Gen2, Lakehouse, Eventstream

Use Cases: Batch & real-time data processing, lakehouse architecture

📊 Data Analyst

Roles: Dashboards build cheyyadam, DAX calculations, KPIs design

Tools: Power BI, Semantic Models, Lakehouse

Use Cases: Sales reports, campaign analysis, business insights

🧠 Data Scientist

Roles: Machine learning models build cheyyadam, data ni analyze cheyyadam

Tools: Notebooks (PySpark), MLflow, Lakehouse

Use Cases: Customer churn prediction, recommendation systems, healthcare risk prediction

💡 Real-Time Scenarios:
🛍️ Retail
🏥 Healthcare
🏦 Finance

🧰 Microsoft Fabric Services Used:
Data Factory

Dataflow Gen2

Lakehouse

Notebooks

Power BI

Eventstream

Semantic Model

🎯 Ee video yavariki?

Microsoft Fabric nerchukovali anukunna beginners

Power BI nundi next level ki vellali anukunna analysts

Data Engineer/Scientist role ki prepare avutunna aspirants

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