AWS EMR
Explore how Amazon EMR simplifies big data processing by managing clusters running Hadoop, Spark, and other frameworks. Understand node types, scalable resource management, integration with AWS services, and security features. Gain knowledge to effectively use EMR for diverse data processing tasks and optimize costs.
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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’ll 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 their roles.
Let’s look at the different types of nodes are given as follows:
Primary node: The primary node ...