Spark Isn’t Magic: What Twenty Years of Data Engineering Taught Me About Distributed Processing

🎓 AUTHORITY NOTE Drawing from 20+ years of data engineering experience across Fortune 500 enterprises, having architected and optimized Spark deployments processing petabytes of data daily. This represents production-tested knowledge, not theoretical understanding. Executive Summary Every few years, a technology emerges that fundamentally changes how we think about data processing. MapReduce did it in 2004. […]

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