Build ELT Data Pipeline to Process 1 Million Records with GCP & Airflow | Data Engineering Project
#dataengineering #dataengineer #gcptutorial #dataengineeringessentials Build ELT Data Pipeline to Process 1 Million Records with GCP & Airflow | Data Engineering Project - Part1 Learn how to build an efficient ELT data pipeline to process 1 million records using Google Cloud Platform (GCP) and Apache Airflow. In this comprehensive data engineering project tutorial, we cover step-by-step guidance on loading data from Google Cloud Storage (GCS) to BigQuery, transforming datasets, and creating country-specific tables and views. Perfect for data engineers and enthusiasts looking to explore modern ETL/ELT concepts with GCP tools. Watch now to gain hands-on experience in managing large-scale data efficiently. Part -2 - • Build ELT Data Pipeline to Process 1 Milli... Source Code - https://github.com/vishal-bulbule/elt... Looking to get in touch? Drop me a line at [email protected], or schedule a meeting using the provided link https://topmate.io/vishal_bulbule Linkedin / vishal-bulbule Medium Blog / vishalbulbule Github Source Code https://github.com/vishal-bulbule #googlecloud #gcp #airflow #dataengineering

Build ELT Data Pipeline to Process 1 Million Records with GCP & Airflow | Data Engineering Project

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