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Use cases for PI Integrator for BA

Question asked by BoSun on Dec 20, 2018
Latest reply on Jan 8, 2019 by BoSun

Our company is thinking about PI Integrator for BA for a few use cases, namely 1. Operational Reporting, 2. System Integration (feeding data to commercial apps), 3. Advanced Analytics (steaming analytics).  

We have all PI components on-premise, and plan to leverage cloud (Azure) services as much as possible. 

 

For Advanced Analytics, the architecture is "PI DA -> AF -> PI Integrator (advanced edition) -> Azure Kafka -> Azure Data Lake -> Azure Databricks -> Visualizations".  

However, we do not have a clear architecture in mind for the other two use cases.

 

For Operational Reporting, I'm thinking "PI DA -> AF -> PI Integrator -> PI Views (SQL Server) -> PowerBI".

  • Do I have to introduce SQL queries/procedures on top of PI Views if further data manipulation is needed? If so, how easy to query PI Views in SQL Server?
  • Will performance be an issue over long time since PI Views is actually staging PI data in SQL Server? I do not think it's a good idea to publish high-frequency data to PI Views because of performance.
  • What about "PI DA -> AF -> PI Integrator -> Azure SQL Data Warehouse -> PowerBI"? SQL Warehouse is more capable of storing data, plus more options for further data manipulations.

 

For System Integration, what would be a reasonable architecture for feeding PI data to other applications (one-way)? I'm thinking PI Integrator publishes data to PI Views or SQL Data Warehouse, and other applications would grab from there.

Again, I'm not sure which one is a better option, PI View, Azure Data Lake, Azure SQL Data Warehouse.

 

Overall, we would like to have less components in architecture to support these 3 use cases. Your comments and recommendations are very appreciated. 

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