A practical migration journey from batch-heavy Hadoop ecosystems to Spark-first architectures, with tips on performance, cost, and team skills.

Spark isn’t just “another framework” – it’s the backbone of scalable ETL, streaming, and ML. This article explains why every modern data engineer needs Spark fluency.