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Why You Need an In-Memory Database for Your IIoT Project
Databases for the Industrial Internet of Things need to accommodate fast-changing and often unstructured data sets, and must be capable of extensive horizontal scaling—as implementations can grow from hundreds to millions of sensors.
It is ideal to do as much processing as possible close to the data collection points themselves, i.e. the edge, because latency is introduced when data travels to remote servers. And this processing may require real-time analytics, allowing the application of strategies such as machine learning that facilitate near real-time business decisions.
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