Blog

31 July 2026
What data governance means for manufacturing data: ownership, access control, quality standards, retention policy, and how it relates to compliance like GDPR
30 July 2026
How to design a machine data schema for analytics: star schema basics, fact and dimension tables, choosing the right grain, and naming consistency across machines
29 July 2026
How to connect machine monitoring data to Grafana: data source options, typical architecture with time-series databases, building dashboards and alerts, and how it compares to Power BI
28 July 2026
How webhooks work for real-time machine events: payload structure, reliability and retry behavior, security considerations, and how they compare to polling and MQTT
27 July 2026
How to get machine monitoring data into Power BI: connection options, data modeling considerations, refresh frequency trade-offs, and common pitfalls to avoid
25 July 2026
SQL vs time-series database for storing industrial machine data: a head-to-head comparison of query performance, storage efficiency, schema flexibility, and when to choose each
24 July 2026
How ETL pipelines work for machine data: extracting from different sources, transforming raw signals into usable data, loading into storage, and ETL vs ELT difference
23 July 2026
How to get shop floor machine data into a data lake: architecture, ingestion patterns, schema considerations, and practical steps, plus common pitfalls to avoid
22 July 2026
How MQTT works for streaming machine data: brokers, topics, publish/subscribe, QoS levels, typical architecture, and security considerations for manufacturing use
21 July 2026
How to get machine monitoring data into your own systems through an API: common patterns, what data is typically available, authentication, and practical integration steps
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