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 - github.com/vis...
Looking to get in touch?
Drop me a line at [e-mail], or schedule a meeting using the provided link topmate.io/vis...
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Source Code
github.com/vis...
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[@mulshiwaters5312]

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

[@techtrapture]

Thank you🎊

[@vigneshgiri4255]

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 :)

[@techtrapture]

Thanks for the kind words 🎉

[@bernasiakk]

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

[@sarathysrm]

How to load parameter from csv to big query like batch id column or insert time

[@abdulfasith7905]

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

[@kuntalbanerjee6903]

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.

[@malleshdatta8832]

Can’t we create the same cloud functions like a python file you created in VScode to upload the file from source to bucket ??

[@techtrapture]

Yes we can create. But in this video we worked on the requirement that non technical front office person will upload file from the front office

[@rishiraj2548]

🙏👍 good evening

[@prashlovessamosa]

please upload more data engineering stuff.

[@techtrapture]

Definitely, I will add more videos

[@fernandoplak6925]

Thankss

[@mbuyimeech]

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

[@techtrapture]

I first downloaded CSV file from kaggle & then copy pasted a few( desired) records to another csv

[@varunmedisetty]

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

[@khananas15]

Is this tutorial also for beginners?