What framework does Amazon EMR support for processing big data?

What framework does Amazon EMR support for processing big data?

• A. Apache Flink
• B. Apache Kafka
• C. Apache Hadoop and Apache Spark
• D. Apache Storm

Answer: (C)

Amazon EMR (Elastic MapReduce) supports both Apache Hadoop and Apache Spark as frameworks for processing big data. Apache Hadoop is a widely used framework that allows for the distributed storage and processing of large data sets across clusters of computers using simple programming models, highlighting its capability in batch processing. On the other hand, Apache Spark offers in-memory data processing, which speeds up computation significantly compared to traditional Hadoop MapReduce. This combination makes Amazon EMR a versatile and powerful platform for handling a variety of big data processing tasks, including both batch and stream processing. While Apache Flink, Apache Kafka, and Apache Storm are also significant technologies within the big data ecosystem, they are not directly supported by Amazon EMR in the same way that Hadoop and Spark are. Flink and Storm are primarily stream processing frameworks, while Kafka serves as a distributed streaming platform. However, they do not have the same foundational integration with EMR as Hadoop and Spark, which means that for broad big data processing capabilities, EMR is optimized around the latter two frameworks.

Amazon EMR (Elastic MapReduce) supports both Apache Hadoop and Apache Spark as frameworks for processing big data.

Apache Hadoop is a widely used framework that allows for the distributed storage and processing of large data sets across clusters of computers using simple programming models, highlighting its capability in batch processing. On the other hand, Apache Spark offers in-memory data processing, which speeds up computation significantly compared to traditional Hadoop MapReduce. This combination makes Amazon EMR a versatile and powerful platform for handling a variety of big data processing tasks, including both batch and stream processing.

While Apache Flink, Apache Kafka, and Apache Storm are also significant technologies within the big data ecosystem, they are not directly supported by Amazon EMR in the same way that Hadoop and Spark are. Flink and Storm are primarily stream processing frameworks, while Kafka serves as a distributed streaming platform. However, they do not have the same foundational integration with EMR as Hadoop and Spark, which means that for broad big data processing capabilities, EMR is optimized around the latter two frameworks.