Home > Workload Solutions > Data Analytics > Guides > Ready Solutions for AI & Data Analytics: Edge Analytics for Industry 4.0 with Confluent Platform > Architecture overview
This architecture uses an edge and core model to address the following requirements
The following figure shows the overall edge to core architecture. Confluent Platform is used to provide the data streaming capabilities from the edge to the core and the management of that system. Red Hat OpenShift Container Platform is used for the runtime environment at the core, including Confluent Platform. The data science environment uses multiple components running under OpenShift, and a Dell EMC Isilon storage array provides the data lake storage.
Figure 10: Architecture overview
The following table provides a legend for the figure above.
Table 1: Architecture overview legend
Callout |
Description |
1 |
Data collection from the edge locations |
2 |
Data flow to the core |
3 |
Flow to the data lake |
4 |
Data science model development |
5 |
Production model management |
6 |
Model deployment from the core |
7 |
Anomaly detection with machine learning (ML) |
8 |
Alert generation |