For years, data management revolved around data warehouses and data lakes – centralized systems promising a single source of truth from a one-size-fits-all solution. As businesses grew more complex and data became more diverse, these approaches showed their limitations. Enter distributed data architecture – a decentralized data management approach encouraging agility and innovation while ensuring data governance and compliance. How did we get here? The rise of the big data era pushed companies to store and leverage vast amounts of information. Many found that Hadoop’s promise of cost-effective…