Managing Data Lake Data: best practices for scalability and efficiency

Managing data in data lakes at scale is no longer just a storage problem—it’s a control problem. As AI generates exponentially more data from IT, security, and applications, organizations face a predictable outcome: rising storage costs, slower queries, and declining trust in data. Left unmanaged, even well-designed data lakes degrade into expensive, unusable data swamps. The difference between a scalable data lake and a failed one is not the storage layer—it’s how data is controlled, organized, and maintained over time.