Optimized Data Engineering: A Crucial Challenge for the Internet of Everything Era CITO Research
By 2020, Cisco estimates that there will be 10 billion connected things shipped annually, and a total of 50 billion things in use.
The data engineering challenges inherent in Internet of Everything (IoE) and Internet of Things (IoT) are profound. In order to handle the massive and ever-increasing amounts of real-time big data from IoE, you’ll need an enterprise-grade architecture that leverages its existing data engineering, supports high scalability, and has the ability to be reconfigured to support new use cases.
Download a free copy of the CITO Research whitepaper, Optimized Data Engineering: A Crucial Challenge for the Internet of Everything Era, to learn:
The many transformations of the Internet of Everything and how it differs from the Internet of Things
The data engineering and business quandary of processing massive amounts of data generated by IoE/IoT
Insights to help you meet the demands of advanced analytics for data in motion, as well as data at rest
Key considerations for building an enhanced infrastructure to meet the growing demands of IoE data engineering and analytics