An End to End Edge to Cloud Data and Analytics Strategy
Butte, Vijay Kumar, Butte, Sujata
–arXiv.org Artificial Intelligence
-- There is an exponential growth of connected Internet of Things (IoT) devices. These have given rise to applications that rely on real time data to make critical decisions quickly. Enterprises today are adopting cloud at a rapid pace. There is a critical need to develop secure and efficient strategy and architectures to best leverage capabilities of cloud and edge assets. This paper provides an end to end secure edge to cloud data and analytics strategy. To enable real life implementation, the paper provides reference architectures for device layer, edge layer and cloud layer. The industries across verticals are making a tectonic shift towards cloud migration.
arXiv.org Artificial Intelligence
Sep-18-2025
- Country:
- North America > United States > Idaho > Bonneville County > Idaho Falls (0.14)
- Genre:
- Research Report (0.40)
- Industry:
- Information Technology
- Security & Privacy (0.47)
- Services (0.70)
- Information Technology
- Technology:
- Information Technology
- Architecture > Real Time Systems (1.00)
- Artificial Intelligence > Machine Learning (1.00)
- Cloud Computing (1.00)
- Information Technology