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SQL is the lingua franca for data practitioners and analysts. So even as newer data lake analytical data systems emerged, a SQL interface was a must. Meta (formerly Facebook) developed Hive to be a SQL interface on top of the first generation of data lakes built on Hadoop. But, Hive had its shortcomings. The nature of Hive was not conducive for human-scale interactivity needed for dashboards and ad hoc analysis.
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