Data warehouses support reporting and analytics on historical data while data lakes support newer use cases that leverage data for machine learning, predictions, and real-time analysis. The question is: do you need both and why? Hear the thoughts of John Riewerts, VP Engineering at Acxiom and Utpal Bhatt, SVP Marketing at Qubole.
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