Data integration is proving to be the Achilles' heel of the Industrial Internet of Things (IIoT) and is blocking progress on the transformations and ROI that industrial enterprises had originally envisioned. With big data there can be both power and confusion. The variety of operational data being generated by IIoT is extremely complex—millions of connected devices, sensors, and network systems operating throughout smart grids and pipelines are generating billions of data points daily. Industrial organizations are struggling to integrate all this unstructured data from disparate sources—often trapped in siloed legacy systems—and all in different formats.
Solving the data integration challenge requires a new way of thinking, and traditional data architectures must be reimagined to support the rapid proliferation of data from an exponentially expanding set of data types. This white paper explains how Bit Stew’s integration technology is designed to rapidly ingest and integrate data to provide a semantic understanding of information across disparate systems. Deeper analytics can then be applied intelligently through analysis methods and workbenches.
Sponsored by Bit Stew Systems
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