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Streaming and batch analytics are two complementary approaches to processing and analyzing data in big data solutions. Streaming analytics refers to the real-time analysis of data as it is generated, capturing insights from data in motion. This approach is ideal for applications that require immediate action, such as fraud detection, real-time customer engagement, or IoT (Internet of Things) data analysis. Streaming analytics uses technologies such as Apache Kafka, Apache Flink, and Apache Storm to ingest, process, and analyze streaming data in real-time, delivering near-instantaneous insights that can be used to drive business decisions.
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