Modern data engineering for manufacturing. Visual ETL, AI-powered pipelines, Python transforms, and real-world industrial automation insights.
Industrial engineers are rushing to learn Python. But 57-65% of Fortune 100 companies use Ignition SCADA—which runs Jython 2.7, a deprecated version that can't use NumPy, Pandas, or modern ML libraries. And in the AI era, that limitation just got 10x worse.
Read Full ArticleNASA lost $327M to a unit conversion error. Your plant's Bar-to-PSI conversion costs $200/hour in consulting fees. Learn why OPC UA ETL is about transformations, not just data movement—and how visual DAGs with built-in unit conversions change everything.
Read Full ArticleWeekly insights on modern data engineering for manufacturing.
Real Python for industrial transforms. Plus: how AI assistants make Python 10x more productive than DSLs.
From natural language to production DAG in 30 seconds. See AI copilot in action.
5-year TCO analysis: Why that $0 tool actually costs $47K.
Why modern data engineers refuse to go back to XML configs.