An ITTIA and Real-Time Innovations (RTI) white paper
Embedded systems manage and share data from a number of sources, and each system requires specific hardware and software to do it. Collecting, organizing, and analyzing data locally is part of the IoT data device journey's integration of software and hardware solutions, standards, and methodologies. Even if there is no connectivity, devices must nevertheless gather information, make decisions, and prepare for data transfer.
Using the right software and hardware technologies enables the fast prototyping of IoT devices to manage, share and disseminate data for a faster time to production. A verified, pre-integrated solution reduces the complexity of device data management. To achieve edge data management IoT goals, manufacturers need to implement comprehensive, flexible database management, data integration, and data distribution system strategy. Making sense of massive raw data has a direct impact on the bottom line, which is critical to the success of any business. The optimal solution is found through a COTS solution that reduces manufacturing costs significantly.