We have updated our popular database dictionary. Here are some of the terms we added: Edge Computing – Edge computing refers to the computing infrastructure at the edge of the network, close to the sources of data. Edge computing reduces the communications bandwidth needed between sensors and the datacenter. Databases with tiny footprints e.g RDM are optimized for edge computing. Embedded…Read More
From simple batch processing to the most sophisticated real-time processes, effective data management is the key to boosting efficiency, increasing productivity and reducing costs in industrial applications. Raima explores the role of data management solutions embedded within industrial automation systems. Managing data effectively within industrial automation systems have become one of the key challenges of…Read More
Schneider Electric is to embed the latest version of Raima’s RDM database management system into the next generation of its EasyXOS Operator Station. The EasyXOS is used for customizing SCADA HMI displays, and has been the backbone of many automation systems since the introduction of the original product 20 years ago. Schneider has always used…Read More
Posted byJeff Parsons on September 17, 2013
The traditional approach to data management has been to have a highly centralized big iron enterprise database engine that supports myriads of security options storing sensitive data. With these enterprise engines you have your choice of authentication, permissions, encryption, and other options to secure your data. As long as you have a database administrator that understands these options and can configure them properly, not as easy as it sounds, your data can be secured. However, data is starting to emerge from the data center and make its way to the outer nodes of the network.