What is Data Engineering in SAP (MFG-DM-MI - Digital Manufacturing Insights)?

SAP Term: Data Engineering

• Component: MFG-DM-MI

• Component Name: Digital Manufacturing Insights

• Description: Data Engineering provides data-acquisition capabilities in SAP Digital Manufacturing Cloud – enabling customers to source data from their on-premise systems like SAP ME, SAP MII, SAP ECC, SAP S/4HANA and other legacy or third-party systems. This data is then available for analysis through the SAP Digital Manufacturing Cloud for insights component covering various manufacturing use cases.

Smart SAP Assistant

• Key Concepts: 
  Data Engineering is a component of SAP’s Digital Manufacturing Insights (MFG-DM-MI) suite. It enables users to collect, store, and analyze data from various sources, such as machines, sensors, and other connected devices. This data can then be used to gain insights into production processes and optimize operations.
  
  How to use it: 
  Data Engineering can be used to collect data from various sources and store it in a secure repository. This data can then be analyzed using advanced analytics tools to gain insights into production processes and optimize operations. Additionally, users can create custom dashboards to visualize the data and monitor performance in real-time.
  
  Tips & Tricks: 
  When using Data Engineering, it is important to ensure that the data is collected accurately and stored securely. Additionally, users should take advantage of the advanced analytics tools available in the suite to gain deeper insights into their production processes.
  
  Related Information: 
  Data Engineering is part of SAP’s Digital Manufacturing Insights suite, which also includes Machine Learning, Predictive Maintenance, and Supply Chain Management components. Additionally, users can integrate Data Engineering with other SAP solutions such as SAP HANA and SAP Cloud Platform for further insights into their production processes.