Skip to main content
Fig. 2 | Journal of Big Data

Fig. 2

From: Enabling real time big data solutions for manufacturing at scale

Fig. 2

Detailed architecture design of DataCone with a combination of proper open-source big data software and enterprise software which are already used by the company. DataCone’s architecture ensures seamless interaction between existing manufacturing management systems and novel big data technologies. The data flows from left to right in this architecture. The data that is produced by IoT sensors and PLCs is consumed by Kepware OPC Server and published to the cluster via proper protocols. Apache Nifi consumes this data and enriches it by combining it with the data that is stored in ERP systems. After the enrichment process, the data is pushed to the storage and analytics layers for further analysis

Back to article page