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.

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[vigneshgiri]

Your videos on GCP data engineering are outstanding! You explain complex concepts with such clarity and ease, making them accessible for everyone. Your step-by-step approach from the basics to advanced topics is incredibly helpful. Thanks for sharing your knowledge and making learning GCP so enjoyable and effective. Keep up the great work and post more videos! I have already SUSBCRIBED :)

[mulshiwaters]

Excellent video gives end to end view with google services with data flow and Realtime example

[bernasiakk]

How great is this stuff, thanks for your time!!!

[abdulfasith]

Nice video!! Please add Dataproc in your next pipeline video.

[kuntalbanerjee]

Please provide a video on dataproc and please explain when to use what tools like dataproc, dataflow, cloud function, cloud data fusion etc and also add video how to automate process for streamline real time, semistructure and unstructure data.

[varunmedisetty]

Sir it while excepting code in vs it says quota limit exceeded

[prashlovessamosa]

please upload more data engineering stuff.

[mbuyimeech]

How do you create the 3 Separate csv files???