In 2019, the CTO of a large global bank realized a problem: Their data continued to grow, costs for their Hadoop cluster rapidly escalated, and these costs started eating into their annual IT budget. Moving off of Hadoop, or “lift-and-shift” was out of the question. They needed a way to cap their cost and growth without impacting their ability to remain market competitive.
Learn how you can expose, simplify, and solve the problems created by large big data clusters. Save time and money, and ensure compliance.