Taylor Scott Amarel

Experienced developer and technologist with over a decade of expertise in diverse technical roles. Skilled in data engineering, analytics, automation, data integration, and machine learning to drive innovative solutions.

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Optimizing Apache Spark for Scalable Machine Learning Pipelines

Introduction: Scaling Machine Learning with Apache Spark In today’s data-driven world, the sheer volume, velocity, and variety of data present unprecedented opportunities and challenges for machine learning. Traditional machine learning frameworks often struggle to handle the massive datasets commonly encountered in fields like genomics, finance, and social media analytics. This is where Apache Spark shines.