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The Architectural Limits of Data Lakes and the Rise of Lakehouses
This story was originally published on HackerNoon at: https://hackernoon.com/the-architectural-limits-of-data-lakes-and-the-rise-of-lakehouses. Data lakes solve storage but not reliability. Learn how lakehouse architecture adds transactions, metadata, and governance to fix the gap. Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-governance, #data-lakehouse, #delta-lake, #acid-transactions, #schema-evolution, #open-table-formats, #apache-hudi, #data-architecture, and more. This story was written by: @seshendranath. Learn more about this writer by checking @seshendranath's about page, and for more stories, please visit hackernoon.com. Raw files on object storage are great for cheap retention but terrible as a system of record lakehouse architecture adds transactional tables, versioned metadata, and schema contracts on top of the same storage, turning a dumping ground into a reliable analytical platform.
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