Big Data Frameworks are software tools and platforms designed to handle the challenges of processing, storing, and analyzing extremely large and complex datasets (Big Data). They provide the infrastructure and capabilities to manage data volume, velocity, and variety that traditional database systems cannot handle efficiently. Common uses include data warehousing, business intelligence, machine learning, and real-time analytics. Popular examples include Apache Hadoop, Apache Spark, Apache Flink, and Apache Kafka.
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