What are some common tools or frameworks used for building batch processing pipelines?
- Apache Beam, Apache Samza, Storm
- Apache Kafka, RabbitMQ, Amazon Kinesis
- Apache Spark, Apache Hadoop, Apache Flink
- TensorFlow, PyTorch, scikit-learn
Common tools or frameworks for building batch processing pipelines include Apache Spark, Apache Hadoop, and Apache Flink. These frameworks offer distributed processing capabilities, fault tolerance, and scalability, making them suitable for handling large volumes of data in batch mode efficiently. They provide features such as parallel processing, fault recovery, and resource management to streamline batch data processing workflows.
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