{"id":6395,"date":"2021-07-16T08:00:12","date_gmt":"2021-07-16T02:30:12","guid":{"rendered":"https:\/\/www.upnxtblog.com\/?p=6395"},"modified":"2021-07-11T08:40:44","modified_gmt":"2021-07-11T03:10:44","slug":"hot-path-analytics-with-cosmosdb-and-azure-functions","status":"publish","type":"post","link":"https:\/\/www.upnxtblog.com\/index.php\/2021\/07\/16\/hot-path-analytics-with-cosmosdb-and-azure-functions\/","title":{"rendered":"Hot Path Analytics with CosmosDB and Azure Functions"},"content":{"rendered":"
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The Internet of Things (IoT)<\/a> has opened up a new, virtually inexhaustible source of technical innovations, which are equally valuable for a broad variety of industries. Applying smart connected devices, sensors, and gateways to control each part of the production process, manufacturing, and infrastructure companies are dramatically increasing their operational efficiency. At the same time, the consumer tech market has exploded with an abundance of smart products and spin-off cloud services that they brought to life. In this article, we are going to look at one of the IoT use cases on how to perform Hot Path Analytics with CosmosDB and Azure Functions.<\/p>\n

According to lambda architecture, there are two paths for data to flow in the analytics pipeline<\/p>\n

Image – lambda architecture describing various flows<\/figcaption><\/figure>\n