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Data streaming, Nidal Salima AZZAM Master BIA Big Data1 2022/2023 -…

- - - - distributed streaming platform that allows for the handling of real-time data feeds.
        
        popular
        
        open-source
        
        high volume
        
        high throughput
        
        low latency
    - - used to handle high volumes of real-time data and enables the development of real-time data pipelines and streaming apps.
    - - used in big data architectures and in situations where real-time data is a critical component.
        
        used in combination with other technologies like Apache Storm and Apache Flink for real-time data streaming and processing.
    - - used by organizations of all sizes and across various industries for a variety of use cases, such as real-time data processing, stream analytics, and data pipeline development.
    - - works by allowing producers to send data to topics, which are then partitioned and replicated across a cluster of servers.
        
        Consumers can then read data from these topics.
        
        The platform also supports the ability to store large amounts of data and enables real-time data processing.
    - - used in large-scale data streaming architectures