Industrial Data Platform on Microsoft Azure

Industrial Data Platforms on Microsoft Azure: a decision guide for manufacturing – Part 1: From use case to Azure stack

From concept to implementation In the previous articles, we discussed architecture concepts for industrial data platforms: brownfield challenges, latency classes, batch versus streaming, the Medallion Architecture, and the question of edge versus cloud. But all these concepts remain abstract until they lead to concrete technology decisions. This article is a guide to finding the right technology foundation for

Industrial Data Platforms on Microsoft Azure: a decision guide for manufacturing – Part 2: From architecture to implementation and the most costly misunderstandings in practice

From the Azure stack to a viable architecture In the first part of this article, we translated typical manufacturing scenarios, from KPI reporting through OEE monitoring to predictive maintenance, into specific Azure stacks. We structured Azure building blocks to task clusters and demonstrated how data ingestion, storage, processing, and use interact using three example stack