Streamlining Data Pipelines: Leveraging Distributed Airflow Workers Across Customer Networks
Stop fighting for inbound VPN access. Put your Airflow workers where the data lives and let them call home.
Expert insights on data engineering
Stop fighting for inbound VPN access. Put your Airflow workers where the data lives and let them call home.
This guide takes an existing Meltano proof-of-concept and elevates it by using a true data source and target database. We will be working with public REST API endpoints as an extractor, and we will use PostgreSQL as a loader.
Containerize a Meltano EL pipeline with Docker to get a reproducible, self-contained workflow that produces a JSONL artifact.