How to Forecast Air Temperatures with AI + IoT Sensor Data

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  • sample-datasets

    sample datasets for QuestDB

  • In this tutorial, we use the chicago_weather_stations dataset. It contains data collected by the sensors at different timestamps. Note that this data lacks uniform time intervals between consecutive entries, as shown below.

  • QuestDB

    An open source time-series database for fast ingest and SQL queries

  • If your data lacks uniform time intervals between consecutive entries, QuestDB offers a solution by allowing you to sample your data. After that, MindsDB facilitates creating, training, and deploying your time-series models.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • MindsDB

    The platform for customizing AI from enterprise data

  • If your data lacks uniform time intervals between consecutive entries, QuestDB offers a solution by allowing you to sample your data. After that, MindsDB facilitates creating, training, and deploying your time-series models.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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