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Why Spark?

Question Posted / Yashasvi Kumar

Answer Posted / Yashasvi Kumar

Spark is chosen for several reasons: First, it offers improved speed and better processing time compared to Hadoop's MapReduce. Second, Spark supports in-memory computing for faster data manipulation and analysis. Third, Spark provides an API for various languages (Python, Scala, Java, R) which makes it more accessible for developers. Fourth, Spark is capable of handling both batch and streaming data, making it suitable for real-time analytics and machine learning tasks.

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