In an era where the Internet of Things (IoT) has deeply penetrated multiple facets of life—from smart homes to industrial automation—the volume, velocity, and variety of data are reaching unprecedented levels. Data integration, a cornerstone in the realm of analytics and business intelligence, has had to adapt rapidly. Far from being a mere contributor of data, IoT serves as a catalyst that demands a reconceptualization of traditional data integration paradigms.

The Intrinsic Relationship Between IoT and Data Integration

The proliferation of IoT devices has added a new dimension to the already complex landscape of data management. These devices churn out a diverse range of data types, such as time-series data, structured and semi-structured logs, and even unstructured text from user interfaces. Thus, data integration is now tasked with something far more complex than merely assimilating databases and cloud storage; it is about making sense of a world connected by billions of devices. As data scientist Hilary Mason insightfully put it, “Data is the raw material of the information age.” And indeed, the quality and form of this “raw material” have evolved significantly with the advent of IoT.

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