Tutorial: hsr-cloud-accelerator
This project is an automated data pipeline built for the Google Cloud Platform. Its main job is to extract data from many different sources—like file uploads and third-party services (Zoho, Swiggy)—and get it ready for analysis. It standardizes the incoming data into an efficient format, then loads it into a BigQuery data warehouse. The whole workflow is controlled by a central configuration file and a smart Task & Dependency Engine, which makes sure all operations run in the correct sequence. The system also includes built-in monitoring and alerting to keep the team updated on the pipeline's status.
Source Repository: None
Chapters
- Configuration Hub
- Data Ingestion Pipeline
- External Data Extractors
- Main Event Router
- Task & Dependency Engine
- Metadata Database Schema
- Observability and Alerting
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