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Answer Posted / Sandhi Goel
Apache Spark has several advantages over Hadoop MapReduce in terms of performance and ease-of-use:nn1. Speed: Apache Spark is significantly faster than Hadoop due to its in-memory caching, lazy evaluation of intermediate results, and efficient task scheduling.nn2. Simplicity: Apache Spark has a simpler programming API than Hadoop, which makes it easier for developers to write and maintain applications.nn3. Flexibility: Apache Spark can handle a wider variety of workloads than Hadoop, including machine learning, graph processing, and streaming data processing.nn4. Real-time processing: Apache Spark can process streaming data in real-time, while Hadoop is primarily designed for batch processing.
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