2026 Data Analytics Solution on AWS Hands-On Project | API Gateway, Firehose, S3, Athena, QuickSight скачать в хорошем качестве

2026 Data Analytics Solution on AWS Hands-On Project | API Gateway, Firehose, S3, Athena, QuickSight

00:00 Introduction – Serverless Data Analytics Architecture Overview 05:10 Create IAM Policy (API-Firehose) 07:50 Create IAM Role (APIGateway-Firehose) 10:00 Create S3 Bucket (Clickstream Storage) 11:45 Create Lambda Function (Data Transformation) 15:00 Create Kinesis Data Firehose Delivery Stream 18:15 Update S3 Bucket Policy for Firehose Access 22:35 Create REST API in API Gateway 27:40 Testing API with Sample Clickstream JSON Payloads 30:20 Create Athena Table (Partition Projection) 35:10 Connect Athena to QuickSight 41:20 Delete Resources to Avoid Charges In this video, we build a complete Serverless Data Analytics Solution on AWS step-by-step using: • Amazon API Gateway • AWS Lambda • Amazon Kinesis Data Firehose • Amazon S3 • Amazon Athena • Amazon QuickSight This hands-on walkthrough demonstrates how to design an end-to-end clickstream analytics pipeline where data flows from a REST API through Lambda and Firehose into S3, is queried using Athena, and visualized in QuickSight. 🏗 Architecture Overview API Gateway → Lambda → Firehose → S3 → Athena → QuickSight You’ll learn: ✔ How to design a real-world serverless analytics architecture ✔ IAM role configuration and security best practices ✔ Firehose data delivery and partitioning ✔ Creating Athena external tables ✔ Troubleshooting common Athena query errors ✔ Visualizing data with QuickSight ✔ Cost optimization and cleanup 🎓 Certification Relevance (SAA-C03) This project directly supports preparation for: AWS Certified Solutions Architect – Associate (SAA-C03) AWS Certified Developer – Associate If you're studying for AWS certifications, this video will help you understand how analytics and serverless services integrate in real-world architectures — something frequently tested in scenario-based questions. 📘 Exercise Reference Hands-on lab used in this video: https://aws-tc-largeobjects.s3.us-wes... 💡 Who This Is For • AWS beginners building practical experience • Certification aspirants (SAA-C03 / Developer Associate) • Cloud engineers exploring serverless data pipelines • Anyone preparing for technical interviews If this helped your AWS certification journey, comment “SAA Ready” below 👇 I reply to every question.