Data Engineering

Data Engineering vs Apache Spark

The question is about Data Engineering .

Answer:
Data engineering involves designing and maintaining end-to-end data pipelines, systems, and architectures for moving and transforming data. Apache Spark is one of the primary tools/data engines used by data engineers for fast, distributed data processing at scale. Data engineering is the practice; Apache Spark is a key technology used to deliver results in complex, big-data projects.

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