Answer / Arvind Chaurasia

Apache Spark has several key features that make it popular for big data processing:nn1. Speed: Apache Spark is significantly faster than other big data processing systems like Hadoop MapReduce, due to its in-memory caching and efficient task scheduling.nn2. Scalability: Apache Spark can scale out to handle large amounts of data by distributing tasks across multiple nodes in a cluster.nn3. Simplicity: Apache Spark has a simple and easy-to-use programming API, which makes it accessible to developers with various skill levels.nn4. Integration: Apache Spark can integrate with various big data storage systems like HDFS, Cassandra, and MongoDB.nn5. Real-time processing: Apache Spark can process streaming data in real-time, making it useful for real-time analytics and machine learning applications.

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