7 Practical Approaches to Data Architecture That Sit Between Silos and Data Lakes
Most enterprise data conversations present a false binary: either maintain rigid departmental silos or invest in a massive centralized data lake. For mid-market organizations, neither extreme delivers sustainable value. This guide explores seven practical architectural patterns that offer genuine data accessibility without the governance failures and technical debt that tend to accompany both extremes.