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Striking a Balance with Data Fabric and Data Mesh
The challenges with data warehouses include the struggle to demonstrate immediate value, difficulty in governance and standardization, and issues with decentralization leading to data ownership confusion. Data fabric is seen as a solution that combines the best of centralized and decentralized approaches. On the other hand, data mesh is likened to a big data non-IT pipe dream, similar to the past disappointments with data lakes where 80% of such projects failed.