Answer Posted / Awadhesh Prasad Gaur
1. In-memory data processing: Spark caches frequently used data in memory for faster access and processing. n2. Flexible data integration: Spark supports various data sources such as Hadoop Distributed File System (HDFS), SQL databases, NoSQL databases, and more.n3. Built-in machine learning libraries: Spark provides MLlib, a library containing common machine learning algorithms.
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