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I also know that Microsoft used to as well with Microsoft Machine Learning Server, but I read their blog post update on deprecating that next year and, honestly still find it confusing--like, are they still having an R server option or is it just R integration into other server-based services? What is this "R Server for HDInsight" thing? Source: over 2 years ago
Also there is HDInsight: https://azure.microsoft.com/en-us/services/hdinsight/. Source: over 2 years ago
I would highly recommend using a proper Time Series Database like QuestDB or InfluxDB to do this instead. You can always export data from wither of those two into Excel if your boss wants it in excel, but it's much easier to do data transformations, create graphs and reports, etc. If you have all the data in a proper database. Source: over 2 years ago
I would suggest using something better suited to IoT data than ... a spreadsheet. I'd recommend looking at one of the Time Series Databases for this. 1) QuestDB or 2) InfluxDB as these are much better suited to streaming data. Source: over 2 years ago
Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
TimescaleDB - TimescaleDB is a time-series SQL database providing fast analytics, scalability, with automated data management on a proven storage engine.
MapR Converged Data Platform - An enterprise-grade distributed data platform that you can trust to reliably store and process big and fast data.
Prometheus - An open-source systems monitoring and alerting toolkit.
IBM SPSS Statistics - IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.