GCP Data Engineering Realtime Project: Weather API → GCS → BigQuery Cloud Composer (Part 2) Demo скачать в хорошем качестве

GCP Data Engineering Realtime Project: Weather API → GCS → BigQuery Cloud Composer (Part 2) Demo

"Real-Time Weather Data Pipeline on GCP | Cloud Composer + BigQuery + GCS Automation" "Build a Fully Automated Weather ETL Pipeline on Google Cloud (Step-by-Step)" "GCP Data Engineering Project: Weather API → GCS → BigQuery Using Cloud Composer" "End-to-End Data Pipeline on GCP | API to BigQuery | Perfect for Beginners!" "Automated Weather Data Pipeline with Cloud Composer | Real-Time ETL on GCP" "Google Cloud Data Engineering Project | Cloud Composer DAG Tutorial" "Weather API to BigQuery Pipeline on GCP | Full Hands-On Project" "Learn Cloud Composer in 20 Minutes | Build a Real Data Pipeline" "GCP BigQuery Automation with Cloud Composer | Fetch & Load API Data" "API Ingestion Pipeline Using Cloud Composer | Data Engineer Project" In this video, you will learn how to build a fully automated real-time Weather Data Pipeline on Google Cloud Platform (GCP). We use Cloud Composer (Airflow) to schedule a workflow that: ✔ Fetches data from Open-Meteo API ✔ Stores JSON into Google Cloud Storage (GCS) ✔ Loads the data into BigQuery ✔ Runs automatically every hour ✔ Auto-creates bucket & tables (no manual setup required!) This is a perfect Data Engineering Project for beginners preparing for: 🔹 GCP Data Engineer Interviews 🔹 Cloud Data Pipeline Projects 🔹 Portfolio Projects 🔹 Real-time API ingestion pipelines 🚀 Technologies Used Google Cloud Composer (Airflow) Google Cloud Storage (GCS) BigQuery Python Weather API (Open-Meteo) XCom & DAG Scheduling Code https://docs.google.com/document/d/e/... #GCP#Cloud#Google#DataEnginnering