Trends in IoT Data Integration
This IDC Perspective provides insights into the current trends in IoT data integration. As the Internet of Things continues to grow and expand, questions about how best to harness the data that flows from sensors and collectors at the edge to be used at different levels of decision making continue to be asked. This IDC Perspective provides a framework of looking at making decisions using IoT data based on who, what, how many, and how often decisions need to be made, taking into consideration the scope, latency, variability, ambiguity, and risks associated with the data and the decision. Using real-world case studies, trends of IoT data integration are provided within the context of known IoT data integration and newly discovered data intelligence patterns."Data coming from the IoT is being used to make decisions at multiple levels, from executives through middle management to frontline and assembly-line workers," says Stewart Bond, research director, Data Integration and Data Intelligence Software research at IDC. "Decisions that leverage the diversity and veracity of data coming from the IoT requires data integration functionality similar to what has existed in the marketplace and custom solutions for some time, but the nonfunctional requirements of IoT data volume, frequency, and connectedness requires architects to approach these solution differently yet consistently to promote consistency and reuse."