Which service can assist in scaling big data processing tasks efficiently?

Amazon EMR (Elastic MapReduce) is specifically designed to efficiently handle big data processing tasks. It provides a managed cluster platform that simplifies running big data frameworks, such as Apache Hadoop, Apache Spark, and Apache Hive. By leveraging Amazon EMR, users can efficiently process vast amounts of data, benefiting from the elasticity of AWS to scale resources up or down based on the workload. This capability allows for better resource management and cost control while ensuring performance for large-scale data processing jobs.

In contrast, while Amazon Kinesis is used for real-time data streaming, it does not provide the same level of batch processing and management of large data sets as EMR does. Amazon CloudWatch serves primarily for monitoring and logging AWS resources, and it does not contribute to data processing scalability. AWS Glue is a serverless data integration service that helps in preparing data for analytics but does not directly handle large-scale data processing tasks like EMR does.