Over the past decade, IoT has grown from niche to necessity. The interconnectivity between conventional computers and mobile devices sparks curiosity about non-internet-enabled physical devices and everyday objects, from automobiles to toaster ovens. Emergent fields such as Industrial Internet of Things (IIoT) and Internet of Wearable Things (IoWT) demonstrate how IoT has become an intrinsic aspect of our economy, from manufacturing to consumption.
Concurrent with the explosive growth of IoT is big data. As enterprises wrangle with new technologies aimed at capturing the volume, velocity, variety, and veracity of their data, they can also discover new value by using IoT data analytics. Business Intelligence (BI) and data visualization solutions continue delivering new insights and new ways of solving old problems. As enterprises capture greater value from their ever-growing data warehouses and lakes, they recognize IoT as the next great frontier in big data analytics.
IoT and big data are now inseparable. The convergence of these two technologies compounds their business value and opportunity for new business use cases that drive innovation across every industry. New sensors, instruments, and an array of other connected devices now continuously stream invaluable IoT data about the world around us. By 2022, an estimated 5.2 trillion GB of data will be generated per year. And the value of this data will only continue to grow. The challenge now is IoT data analytics and visualization at scale.