As cyber threats become more sophisticated and persistent, the field of Strategic Cyber Intelligence (SCI) has emerged as a critical discipline to support long-term decision-making at organizational and governmental levels. Given the increasing reliance on Big Data and NoSQL systems for handling vast and diverse datasets, I am curious about how these technologies can be leveraged effectively in SCI.

Specifically, I would like to discuss:

1. What are the key challenges in integrating Big Data and NoSQL systems into SCI workflows?

2. Are there any existing models or frameworks that combine these technologies for analyzing and predicting cyber threats?

3. How can the community address scalability, data quality, and real-time analysis needs in this context?

I welcome insights, practical examples, or references to recent studies that explore this intersection. Let’s discuss how we can advance SCI research and applications through innovative data-driven approaches.