Apache Kafka Hadoop


                   Apache Kafka Hadoop


Apache Kafka is an open-source stream processing platform for building real-time data pipelines and streaming applications. It is designed to handle high-throughput, fault-tolerant, and scalable data flowing between different systems. Kafka is commonly used for building event-driven architectures, real-time analytics, and log aggregation.

On the other hand, Hadoop is an open-source framework that allows for the distributed storage and processing of large datasets using a cluster of commodity hardware. The core components of Hadoop include the Hadoop Distributed File System (HDFS) for storage and the MapReduce programming model for processing data in parallel.

Both Apache Kafka and Hadoop are often used together in big data architectures. Kafka can serve as a real-time data source for Hadoop, feeding data into Hadoop clusters for further processing and analysis. This combination allows organizations to leverage the strengths of both platforms for handling large-scale data processing and streaming requirements.

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