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Building an Automated Data Pipeline for Sales Data in Google Cloud | GCP Data Engineering Project

Building an Automated Data Pipeline for Sales Data in Google Cloud | GCP Data Engineering Project Welcome to our comprehensive tutorial on building an automated data pipeline for sales data using Google Cloud Platform (GCP). In this project, we'll guide you through the entire process of setting up a robust data pipeline that facilitates the seamless upload, storage, processing, and visualization of sales data. 🔹 Project Overview This project demonstrates the integration of several GCP services to create an efficient and automated data pipeline for sales data. We'll show you how to: Develop a web portal using Python Flask for uploading sales data files (CSV, Excel). Store the uploaded files in a Google Cloud Storage (GCS) bucket. Trigger a Google Cloud Function to process and load the data into BigQuery. Use Looker Studio to create insightful dashboards and reports for data visualization. Source Code - https://github.com/vishal-bulbule/sal... 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 Playlists Associate Cloud Engineer -Complete Free Course    • Associate Cloud Engineer -Complete Fr...   Google Cloud Data Engineer Certification Course    • Google Cloud Data Engineer Certificat...   Google Cloud Platform(GCP) Tutorials    • Google Cloud Platform(GCP) Tutorials   Generative AI    • Generative AI   Getting Started with Duet AI    • Getting started with Duet AI | Google...   Google Cloud Projects    • Google Cloud Projects   Python For GCP    • Python for GCP   Terraform Tutorials    • Terraform  Associate Certification(00...   Linkedin   / vishal-bulbule   Medium Blog   / vishalbulbule   Github Source Code https://github.com/vishal-bulbule #googlecloud #gcp