What is Cloud Data Engineering? From Raw Data to AI (Real Example)

Cloud data engineering explained using a real-world business example.

In this video, I explain cloud data engineering using a simple real-world example of a retail store.

Instead of complex tools and theory, I break down how raw data is collected, cleaned, processed, and moved through data pipelines and why data engineers are the backbone of analytics and AI.

You’ll learn:
1. What a data engineer actually does
2. How raw business data becomes useful
3. The difference between data engineers, data analysts, and data scientists
4. What cloud data engineering really means
5. Why companies move their data pipelines to the cloud

This video is perfect for beginners who want to understand data engineering, cloud computing, and how data flows in real companies.

If you’re interested in careers like data engineering, cloud engineering, or working with big data, this video will give you a clear foundation.

Timestamps:
00:00 - Introduction & Agenda
00:34 - Real-world Analogy (Supermarkets & Data Generation)
01:30 - What is Raw Data? (The Messy Reality)
03:40 - Role of a Data Engineer (Pipelines & Cleaning)
05:23 - Role of a Data Analyst (Dashboards & Reports)
06:40 - Role of a Data Scientist (AI & Predictions)
09:00 - The Scaling Problem: Why Local Servers Fail
09:36 - What is Cloud Data Engineering? (The Solution)
12:18 - Top Cloud Platforms (AWS, GCP, Azure)
13:56 - Why Data Engineering is Critical (Conclusion)

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