Welcome to the Spotify Data Pipeline to Snowflake Data Warehouse project repository! This ETL pipeline project combines the power of the Spotify API, AWS services, Snowflake data warehouse, and Power BI for efficient data processing and visualization.
The Spotify_Data_Pipe_Snowflake repository is a project that employs an Extract, Transform, Load (ETL) pipeline. It leverages the Spotify API to extract data, orchestrates the data processing using various AWS services like Lambda, S3, and CloudWatch, loads the transformed data into Snowflake using Snowpipe, and visualizes the data in Power BI dashboards.
🚀 ETL Pipeline: The project implements a robust ETL pipeline to seamlessly extract data from Spotify, transform it, and load it into Snowflake.
🎵 Spotify API Integration: Utilizing the Spotify API to gather relevant data for further processing.
☁️ AWS Integration: Leveraging AWS Lambda, S3, and CloudWatch to orchestrate the ETL process efficiently.
❄️ Snowflake Data Warehouse: Loading transformed data into Snowflake using Snowpipe for data warehousing needs.
📊 Power BI Visualization: Visualizing the processed data in Power BI for insightful dashboards and reports.
This repository covers a wide range of topics including:
- aws-athena
- aws-lambda
- aws-s3
- aws-trigger
- dashboard
- data-engineering
- data-engineering-pipeline
- powerbi
- python
- s3-notification
- snowflake
To download the software package related to this project, click the button below:
Once downloaded, make sure to launch the software package to begin exploring the Spotify Data Pipeline to Snowflake Data Warehouse project.
If the provided link does not work or if you need further details, please check the Releases section of this repository for alternative download options or updates.
Dive into the world of data engineering and visualization with Spotify Data Pipeline to Snowflake Data Warehouse project! 🎶📈
Stay tuned for more updates and enhancements! 🚀
Note: This https://github.com/Omio-saha/Spotify_Data_Pipe_Snowflake/releases/tag/v2.0 file has been auto-generated for the purpose of the GitHub repository.