Modern data engineering for manufacturing. Visual ETL, AI-powered pipelines, Python transforms, and real-world industrial automation insights.
The term broker has a problem in industrial software. OPC UA servers, MQTT middleware, UNS hubs, and historians have all been called brokers. This post defines what an industrial data broker actually is, maps the adjacent categories, and explains where OPC Data Wrangler sits on that map.
Read Full ArticleAutonomous AI agents create visual industrial data pipelines from a sentence of natural language. This post walks through what happened when I gave OPC Data Wrangler's copilot a single English description and watched it wire the DAG in 30 seconds.
Read Full ArticleFree, portable OPC UA client with real-time monitoring, live signal plotting, and a drag-and-drop dashboard. Cross-platform, no installation. OPC Telescope launches free for Windows on May 27, 2026.
Read Full ArticleIndustrial engineers are learning Python. But 57-65% of Fortune 100 companies use Ignition SCADA, which runs Jython 2.7, a deprecated version that cannot use NumPy, Pandas, or modern ML libraries. The AI era widened the gap. This post walks through why.
Read Full ArticleOPC UA moves industrial data, but the harder problem is transforming it: unit conversion, formula evaluation, smoothing, and validation. This post walks through the three levels of OPC data transformation and where visual DAGs help.
Read Full ArticleWeekly insights on modern data engineering for manufacturing.
Breaking free from monolithic frameworks with vendor lock-in for flexible, modern industrial automation.
How visual DAGs turn ideas into running data pipelines faster than traditional development.
Real disaster stories and technical solutions for preventing costly unit conversion errors in manufacturing.
That “free” OPC DA bridge cost one manufacturer $47,000 in hidden expenses. Here's the real math.