AWS EMR
Explore Amazon EMR and its role in big data processing using frameworks such as Hadoop and Apache Spark. Understand the EMR cluster architecture, node types, and how EMR simplifies infrastructure management while integrating with AWS services. Learn how EMR offers scalability, cost optimization, and security features to efficiently process and analyze large datasets in the cloud.
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Amazon EMR (previously called Elastic MapReduce) is a cloud-based service offered by Amazon Web Services (AWS) that runs big data frameworks like Hadoop, Apache Spark, HBase, and Presto on AWS for data processing, machine learning, and data analysis-related tasks. It’s a managed service, so it removes the complexity of managing the big data infrastructure, i.e., it scales processing power based on data volume, and we only pay a per-second rate for what we use. In this lesson, we will learn about the features of EMR and how it works.
Amazon EMR cluster
The core processing unit of the Amazon EMR cluster is the cluster. A cluster is a group of Amazon EC2 instances working together as a single compute resource, where each instance is called a node. These nodes can be categorized into different types depending on the roles they perform.
Let’s look at the different types of nodes are given as follows:
Primary node: The ...