Data Warehouse with Google Cloud Platform resources using Python for data Extraction/Transformation and Power BI for Data Visualization
- About the Project
- Data Warehouse
- New Architecture Proposal
- Data Model View
- Data Visualization
- Contact
The main objective of this project is to develop a full pipeline of data by extracting, transforming and loading(ETL)into a data warehouse environment considering the best practices, allowing data visualization platforms to connect and explore business questions and eventually retrieve insights of it.
These are the main softwares used to develop this project:
You may access the data warehouse in Big Query through the following link: Google Big Query
To continuosly improve the architecture this is the latest proposal for the architecture considering GCP resources (ps:I'm currently working on the scripts)
Some calculated columns were created in power bi in order to support the measures
You can access the report through the link below: SaaS - Customer Payment Analysis
The Report has 2 pages, the first one is an overview of the business and the second one has detailed information including all measures created for this report.
First Page:
Samuel Geron - Linkedin
Project Link: https://github.com/SamuelGeron/gcpDW/