The increasingly distributed and heterogeneous nature of data is pushing companies to reconsider their approach to data architecture. Both the data lake and data mesh concepts promise to meet the requirements for accessibility, consistency, data quality, and data governance. Is one of them better than the other? What are the crucial aspects to consider when choosing a data infrastructure?
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