The current naval networking workspace is comprised of several enterprise computing and communications environments, which can be characterized as large-scale heterogeneous networks. Due to the complex and heterogamous nature of these networks, it is quite challenging to provide a synchronized view of information, while performing autonomous analytics on a large volume of geographically dispersed data. IAI is working to develop a highly scalable and autonomous NetOps Analytics (SANA) system, which defines and captures information and network behaviors in the naval networking environment, while alerting the users if any abnormalities are detected. In addition, the IAI SANA system maps missions to its resources and guarantees synchronized data sharing to increase the level of information value, health, and trust. After developing a prototype of the SANA system, IAI has evaluated its performance on a cloud platform. The preliminary evaluations confirms that the SANA system outperforms conventional single server based solutions, in terms of CPU/memory utilization and computation delay, and that the system can handle multiple query requests simultaneously with a large volume of input data. While there are many tools available, the objective of this program is to develop a superior, secure situational awareness and user efficiency tool that would benefit any large network operating in a cloud environment. SANA has many DoD applications and can be extended to a broad range of commercial operations possessing massive amounts of data, as well as for smaller companies exploiting the elasticity of the cloud, and looking for Big Data analysis and management.