Building smart IoT applications with Python and Spark
summary
Shows how Python, PySpark and AWS are used together to process large IoT time-series datasets, build machine‑learning models (example: predictive models for smart buildings), and deploy those models in automated, scalable cloud data pipelines for smart-home/building/climate applications.
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