What are the benefits of using Apache Spark over traditional data processing tools?

The question is about Apache Spark

Answer:

Apache Spark offers several advantages over traditional tools like Hadoop’s MapReduce. It provides in-memory computation, which significantly speeds up data processing. Spark supports a unified API for batch, streaming, machine learning, and graph processing, making it versatile. Additionally, it has a rich ecosystem of libraries like Spark SQL, MLlib, and GraphX, enabling developers to build end-to-end data workflows in a single framework.

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