The modern cloud has enabled significant advancements in data movement and governance, allowing organizations to expand their production possibilities frontier and reduce scarcity. The shift from ETL to ELT has eliminated the need for bespoke solutions and labor-intensive transformations, instead enabling flexible and automated pipelines that save both money and engineering talent. This has also solved a long-standing tension in data science, where data scientists were often forced to spend time on upstream technical tasks rather than analytics and machine learning. Additionally, robust data governance tools have enabled access while maintaining compliance, allowing for decentralized decision-making and data democratization.