Build an eCommerce Data Pipeline on AWS (Step-by-Step | Manual Setup) скачать в хорошем качестве

Build an eCommerce Data Pipeline on AWS (Step-by-Step | Manual Setup)

In this hands-on tutorial, we build a complete AWS Data Ingestion Pipeline from scratch using real cloud services — no automation tools, no shortcuts — just pure fundamentals. You’ll learn how to design and deploy a production-style data pipeline used in real eCommerce systems for streaming and storing customer & order data. Perfect for: • Data Engineering beginners • AWS learners • Cloud & DevOps students • Final year projects • Real-world practice 📌 What You Will Build Step-by-step pipeline flow: Create S3 Bucket (Raw Storage) Launch EC2 Instance (Server) Attach IAM Role (Permissions) Configure Kinesis Firehose (Streaming) Connect EC2 via SSH / VS Code Run ingestion scripts & process data Final Flow: S3 → EC2 → IAM → Firehose → S3 Raw → Processing 🔐 IAM Role Policies Used Attach these permissions to your EC2 instance: CloudWatchFullAccessV2 CloudWatchLogsFullAccess CloudWatchEventsFullAccess AmazonKinesisFirehoseFullAccess These enable: • Monitoring • Logs collection • Event triggers • Firehose delivery access 📂 S3 Prefix / Folder Structure firehose/customers/raw/ firehose/orders/raw/ All incoming streaming data is automatically stored inside these folders.