About the Whitepaper
Data Mesh redefines managing highly distributed, complex data environments in large-scale data landscapes, overcoming the limitations of traditional centralized data architectures. It encourages decentralized data ownership, treating data as a product, and enabling self-serve data infrastructure. Productive implementation requires a robust technical foundation to avoid risks such as fragmentation, inconsistency, and performance bottlenecks.
This whitepaper explores critical technical foundations to steer clear of logical silos and effective data consumption at different levels of granularity. Key factors include scalable storage solutions, flexible data modeling practices, advanced query interfaces, and other essential infrastructure elements.
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