{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Data Science Tech Brief By HackerNoon","title":"HiveMQ and TimescaleDB: It Just Works!","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/0e703873\"></iframe>","width":"100%","height":180,"duration":237,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/hivemq-and-timescaledb-it-just-works.\nHow HiveMQ and MQTT enabled real-time SCADA data streaming to power machine learning and optimize an industrial dosing process at scale.\nCheck more stories related to data-science at: https://hackernoon.com/c/data-science.\n            You can also check exclusive content about #data-pipeline, #hivemq-timescaledb-integration, #real-time-sensor, #ai-data-pipeline, #ai-optimization, #secure-data-transfer, #hypertable-time-series, #good-company,  and more.\nThis story was written by: @tigerdata. Learn more about this writer by checking @tigerdata's about page,\n            and for more stories, please visit hackernoon.com.\nUsing HiveMQ, an industrial plant streamed real-time SCADA data to external machine learning models to fix a failing dosing process. The flexible MQTT pipeline made it easy to add new data inputs without rework. Paired with TimescaleDB, the system scaled to handle continuous telemetry, turning unreliable production into a stable, optimized operation.\n        \n        ","thumbnail_url":"https://img.transistorcdn.com/8VxAgS1Ll3FJEERcAdhFdqqXJMnE7OfD2RUvrjauLt0/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMjY4LzE2ODM1/ODI1ODUtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}