Data modernization is the process of updating an organization's data infrastructure, architecture, and data management practices to meet current and future business needs. This often involves migrating from legacy systems to more modern technologies like cloud-based data warehouses, data lakes, and advanced analytics platforms. Common use cases include improving data accessibility, scalability, data quality, and enabling advanced analytics and AI initiatives.
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