Google Cloud Data Pipeline | Dataflow Batch + Cloud Storage + BigQuery
Автор: AI Nikhil ModelMind
Загружено: 2025-09-29
Просмотров: 134
🚀 In this video, you’ll learn how to build a Google Cloud Data Pipeline using Dataflow (Batch Data Processing), Cloud Storage, and BigQuery.
This end-to-end tutorial will guide you through extracting, processing, and loading data in GCP for analytics and reporting.
✅ What you’ll learn in this video:
What is Dataflow in GCP?
How Batch Data Processing works in Dataflow
Using Cloud Storage to store and stage data
Loading transformed data into BigQuery
Designing an end-to-end ETL pipeline with Google Cloud
By the end of this tutorial, you’ll know how to create a scalable, serverless data pipeline in Google Cloud for handling batch data processing and analytics.
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#GoogleCloud #GCP #Dataflow #BigQuery #CloudStorage #DataPipeline #ETL #dataengineering
GIT HUB - Python Code for Data Pipeline / https://github.com/nikhilofficially/Y...
Note :- Please Replace Your GCP Credentials
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