PulseAugur
EN
LIVE 10:35:32

Indonesia earthquake monitoring pipeline built with DuckDB and dbt

A data engineer developed a production-grade earthquake monitoring pipeline for Indonesia, leveraging tools like DuckDB, dbt, and GitHub Actions. The system addresses challenges with a stateless API by saving raw data snapshots for auditability and recovery. It also implements deduplication and observability to ensure data quality and reliability. AI

IMPACT Demonstrates practical application of data engineering tools for real-world monitoring systems.

RANK_REASON The article describes the creation and architecture of a data pipeline using specific tools, rather than a new product release or significant industry event.

Read on Towards AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Indonesia earthquake monitoring pipeline built with DuckDB and dbt

COVERAGE [1]

  1. Towards AI TIER_1 English(EN) · Billy Cemerson ·

    I Built a Production Earthquake Monitoring Pipeline for Indonesia — Here’s What I Learned

    <h4><em>How DuckDB, dbt, and GitHub Actions turned a public BMKG API into an automated data warehouse with built-in observability</em></h4><h3>1. Introduction: Why Indonesia Made Me Care About Data Freshness</h3><p>Indonesia sits on the Pacific Ring of Fire. It is one of the most…