5 Signs Your Oklahoma Business Needs a Data Engineer (Not Just an IT Guy)
We've seen a trend of small-to-mid size Oklahoma businesses outgrowing their data setup. Here's how to tell if it's time to bring in a real data engineer.
Stop Letting Your Airflow Config Live in Someone's Head
If your Airflow Variables, Connections, and secrets only exist in the UI or someone's memory, you don't have a config strategy, you have a time-bomb. Here's how to actually fix that.
Keep Your Pipelines Portable: The Case for Decoupled Airflow
Learn how to build portable, testable data pipelines by containerizing your ETL logic and using Airflow purely as a scheduler, keeping your code independent from any specific orchestration tool.
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.
Mastering Meltano
How to Run a Meltano Pipeline with a REST API and PostgreSQL
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.
Mastering Meltano
How to Build a Docker Image to Run Containerized Meltano Pipelines
Containerize a Meltano EL pipeline with Docker to get a reproducible, self-contained workflow that produces a JSONL artifact.