Data Pipelines and Orchestration

Data Pipeline Diagram

Data Collection πŸ“₯

We gather raw data from given sources using:

  • APIs (Google Classroom, Illuminate, etc.)
  • SFTP Transfers (Secure file sharing from district systems)
  • Web Scraping (Extracting data from websites if direct integration isn’t available)

Data Processing & Transformation πŸ”„

Raw data is cleaned, standardized, and structured into meaningful tables. We validate the data to prevent errors and inconsistencies.

Orchestration with Apache Airflow

Airflow schedules and automates the entire data workflow. Each step is tracked from data gathering, to transformation, to accuracy checks. This ensures that data flows efficiently and correctly. If an issue occurs, Airflow automatically alerts stakeholders via email.

Continuous Integration & Continuous Development for Quality Assurance βœ…

Before data pipelines go live, our CI/CD process runs automated tests on the codebase to check for data integrity. Any failed tests stop data pipelines from being deployed. This ensures accurate and reliable school metrics.

Storage & Analysis in BigQuery πŸ“Š

Processed data is stored in Google BigQuery, allowing fast and scalable queries. Data is linked across different sources to comply with data modeling, and create comprehensive views upon request.

Reporting & Visualization πŸ“ˆ

Analysts are able to hook up to data sources in order to create dashboards in Looker, Tableau, Power BI, Google Data Studio, or directly in Google Sheets making insights easy to understand. Schools can filter, analyze, and track trends over time.

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