Unified Analytics Engine

ATLASrsquo; vision is to guarantee the US Government (USG) access to space through the ability to leverage a global hybrid network of USG and commercial antennas using a highly innovative machine learning scheduler of schedulers. Built on ATLASrsquo; commercially available product, the prototype for this effort is a data analytics engine to support the ATLAS Cognitive Constellation Management Scheduler. Leveraging the power of data science and machine learning to facilitate decision making in the scheduler, the unified analytics engine prototype will transform raw data from billions of data points to increase network performance measured by the results of the taskings enhancing reliability and resiliency.The main goal of this project is to leverage streaming and real-time data, in addition to billions of historical data points and state of the art data analytics to create detailed performance metrics per site, per customer, per satellite and even per hardware unit, per software patch, and per configuration. The ability to slice and dice per site, customer, etc., tied in with modern approaches to outlier identification, anomaly detection, and time series analysis can empower a suite of insights. This includes use cases such as hardware failure prediction for maintenance optimization and downlink throughput maximization.