In this white paper produced by Database Trends and Applicatons, we discuss the key requirements and considerations for building streaming data architectures for IoT anaytics.

The architectures to enable us to process data in motion are called streaming data architectures. The data architectures needed to accommodate processing IoT data go beyond established rules and necessitate new, modern paradigms—ones designed for scalability, capture, and high performance.

When we speak about the Internet of Things (IoT), we are talking about the interconnection of thousands of devices with the tremendous computing power available to power Artificial Intelligence and Machine Learning (AI/ML). No longer is data aggregation required to derive intelligence. Rather, real-time insight and decisions at the moment where they can have the most significant positive impact are being derived by streaming data.