4 articles exploring data engineering
A comprehensive data engineer's comparison of Apache Airflow, Prefect, and Dagster with 20-category feature matrix. Covers ease of use, learning curve, architecture, pricing, extensibility, community, integrations, and why Airflow still dominates for complex production pipelines.
How to build a SaaS metrics stack that produces ARR, MRR, churn, LTV, and CAC you can actually defend - with SQL, Python, and the right source-of-truth hierarchy.
How to build investor-grade revenue data infrastructure before a Series B raise - the stack, the metrics, the entity resolution problem nobody talks about.
A practical framework for entering the field: programming foundations, SQL, cloud platforms, side projects, and how to build a portfolio that gets you hired.