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.
Expert insights on data solutions, database administration, data engineering, and DevOps
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.
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.
Stop fighting for inbound VPN access. Put your Airflow workers where the data lives and let them call home.
A practical guide to building your first AI batch processing pipeline. From identifying the right problem to architecture patterns and common pitfalls to avoid.
100% automation isn't the goal. Learn how to build hybrid systems where AI handles the bulk and humans handle exceptions, achieving better results than either alone.
AI is expensive for chatbots. Batch processing has different economics. Learn about batch API discounts, model selection, and when AI costs less than human labor.
Every organization has decades of data trapped in formats machines couldn't understand. LLMs change that. Here's how AI solves the dirty data problem traditional automation couldn't crack.
The AI bubble question is everywhere. Valuations are stretched. Skepticism is warranted. But bubbles burst speculation, not value. Here's what's real and why you shouldn't sleep on it.
Forget the tech debt. These strategic shifts change how your organization uses data, and they start with conversations, not code.
Data engineering and platform development often benefit from outsourcing or hybrid staffing. Learn when to hire consultants vs. full-time engineers for your organization.
Data quality isn't a one-time fix, learn how to execute, measure, and evolve your data strategy to drive real business impact while staying ahead of change.
Your data strategy will fail without the right culture. Learn how to build executive buy-in, drive data literacy across your organization, implement governance that enables rather than restricts, and overcome resistance to change.