Scalable IoT, In-Database Computing

Presented by

Sina Shahandeh, Director of Data and Analytics, Ecobee and Benjamin Smith, Senior Product Marketing Manager, Vertica

About this talk

Internet of Things (IoT) data is exploding, driven in part by the adoption of connected home technologies such as smart thermostats. While the adoption of connected home technology is increasing at a dramatic rate, creating value from the growing volume of sensor data generated by smart devices requires a new approach to advanced analytics at increasing scale. Join us for the latest Iot Central webinar to learn how Ecobee, a maker of wi-fi enabled smart thermostats, leverages Vertica advanced analytics to process massive raw data clusters at scale to build thermal models so customers can intelligently manage heating and cooling systems and contribute to a sustainable future. During this presentation, we will explore how: • Vertica in-database machine learning uses massively parallel processing and a familiar SQL interface to accelerate time-to-value on predictive analytics projects • Ecobee’s Vertica implementation and broader analytics stack allows them to answer analytics and data science questions faster • Ecobee is using smart thermostats and data analytics to unlock new innovations around demand response management, time of use optimization and energy storage
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OpenText has completed the purchase of Micro Focus, including Vertica. Our combined expertise expands our analytics offerings to help customers confidently scale analytics to the largest and most demanding workloads for the fastest predictive insights available on the market.