Cloud Computing Explained | AWS vs GCP vs Azure + IAM Deep Dive| DE Roadmap #27

Welcome to Session 27 of the Data Engineering Course 🚀 In this session, we begin our Cloud Computing journey and understand why cloud platforms became important in modern data engineering. 🔹 What you will learn: 📌 Why Cloud Came Into the Picture Problems with traditional on-premise systems Scalability and flexibility Real-world need for cloud platforms 📌 Different Types of Cloud Platforms AWS Overview GCP Overview Microsoft Azure Overview Key differences between cloud providers 📌 Introduction to GCP Why GCP is widely used in Data Engineering Important GCP services overview 📌 IAM (Identity & Access Management) What is IAM? Users, Roles & Permissions Authentication vs Authorization Real-world IAM concepts 🎯 This session is highly important for: Data Engineering Interviews Beginners entering Cloud & Big Data Understanding modern data platforms 🚀 Upcoming Sessions: BigQuery GCS Composer Pub/Sub Dataproc End-to-End GCP Pipelines 👉 Subscribe for the complete Data Engineering roadmap. #CloudComputing #GCP #IAM #DataEngineering #AWS #Azure #GoogleCloud