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Answer Posted / Amit Srivastava
Key Features of Spark include: Resilient Distributed Datasets (RDDs), which provide fault-tolerant distributed data collection with flexible operations; easy programming interface for creating complex data pipelines using Scala, Java, Python, and R; ability to process both batch and streaming data; integration with SQL and Hive for structured data processing; support for machine learning libraries like MLlib; and faster data processing compared to MapReduce due to in-memory caching and lazy evaluation.
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