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An experimental survey conducted in Lyon, France, focused on popular Big Data frameworks including Hadoop, Spark, Storm, Samza, and Flink. The study categorized these frameworks, analyzed their features, and evaluated them in batch and stream modes using workloads like kmeans, WordCount, PageRank, and ETL. The study investigated scalability, data partitioning, cluster manager impact, configuration parameters' impact, and resource consumption. The research provided insights into best practices for utilizing Big Data frameworks.
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