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most of our data processing code was implemented in Scala. This choice was driven by Scala’s native integration with Spark, superior performance, full access to Spark features, strong compile-time safety, and more mature tooling and ecosystem support at the time.
While PySpark has significantly improved—offering near API parity, better performance, and support for the Pandas API—migrating all our existing Scala code to Python might not provide the best user experience and could introduce unnecessary complexity.
Could you provide Scala support in AI features?
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