Data lakes were conceived to reduce data silos and costs. Yet first-generation datalakes created more problems than they solved. Like data swamps, they lacked governance, security, and the ability to generate insights.

However, companies were slow to migrate to modern cloud-based data platforms. As a result, they remained stuck with aging, dysfunctional data lakes riddled with technical debt.