This repository includes some AWS Cloud Quest. it not include the cloud practitioner labs

Build a Visualization and Monitoring Dashboard for IoT Data with Amazon Kinesis Analytics and Amazon QuickSight

you run a script to mimic multiple sensors publishing messages on an IoT MQTT topic, with one message published every second. The events get sent to AWS IoT, where an IoT rule is configured. The IoT rule captures all messages and sends them to Firehose. From there, Firehose writes the messages in batches to objects stored in S3. In S3, you set u…

Smart City Realtime Data Engineering Project

This project repo 📺 offers a robust solution meticulously crafted to efficiently manage, process, and analyze YouTube video data leveraging the power of AWS services. Whether you're diving into structured statistics or exploring the nuances of trending key metrics, this pipeline is engineered to handle it all with finesse.

A demand forecasting pipeline deployed on Azure and AWS

The testbed showing how to embed QuickSight dashboards into a web app

This project demonstrates a complete data pipeline for extracting, transforming, and loading (ETL) Reddit data into an Amazon Redshift data warehouse. The pipeline uses various AWS services and tools including Apache Airflow, PostgreSQL, AWS S3, AWS Glue, AWS Athena, and Amazon Redshift. The project is orchestrated using Docker and Apache Airflow

Unveiling job market trends with Scrapy and AWS

A cost intelligence solution that correlates application performance traces with Infrastructure costs, providing unprecedented transaction-level visibility to drive strategic business decisions.

RiftGuru uses hybrid rule-based and ML-augmented detection to identify clutch moments in League of Legends matches. <------------------------------------------>Built for the AWS AI Hackathon 2025 | Processes Riot API data through a serverless pipeline to generate AI-powered narratives of your best plays.

Streaming data pipeline on aws, Tech session repository for hist

Refresh Amazon QuickSight SPICE Datasets

This project aims to securely manage, streamline, and perform analysis on the structured and semi-structured YouTube videos data based on the video categories and the trending metrics.

An end-to-end data engineering project in which five NYC DOT datasets were modified in an ETL process and analyzed for insights.

A scalable crypto data pipeline that ingests from API, transforms, stores, and loads crypto currencies historical and intra day data using AWS services and Snowflake. Airflow orchestrates the entire pipeline and, CI/CD fully automated through GitHub Actions.

Sales Analytics Dashboard using AWS

Dashboard generated using Python and AWS services

Ambiental telemetry (temperature and humidity) at the edge using AWS Greengrass v2 on Raspberry PI and ESP32 client devices

QuickSightの分析とデータセットの設定をLambdaでバックアップする