1 CHALLENGE Challenge: Accelerate data analytics, reduce data prep time, and reduce costs. CyberCube wanted to support its strategic growth by enabling their analysts to build insights that deliver additional value to their customers via new services on their cyber risk analytics platform. They needed a solution that could easily scale to their size requirements in a transient model, handle data of virtually any type, store massive amounts of data at a low cost, and extract basic models from the data itself to create the ability to query without a lot of transformation. CyberCube’s existing data processing routine inspected data sources and hard-coded data around them. nClouds recommended a solution using AWS Glue and Amazon Athena to more easily structure and load the data for anal

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