Data Analysts sift through the past using SQL and BI tools. Their goal? Unearthing insights. Meanwhile, Data Scientists harness the power of Python and R to gaze into the future—predicting trends like data-driven oracles. On another front, Data Engineers craft pipelines. Think Apache Spark—the stage manager for data's grand entrance, ensuring it marches smoothly. Then there's DevOps, the maestros of app delivery. Pitching them into MLOps and expecting perfection? Asking a fish to climb trees sounds equally plausible.
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