Is it better to use ETL or Apache Spark for large datasets?

The question is about ETL

Answer:

Apache Spark is better for processing large datasets due to its distributed architecture and real-time capabilities. ETL processes are better for structured, batch workflows where data needs to be carefully transformed before storage. The choice depends on the volume, velocity, and variety of data.

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