What is an AWS EMR cluster?
AWS EMR (Amazon Elastic MapReduce) is a cloud-based big data solution manufactured by Amazon Web Services (AWS), which takes all the complexity involved with deploying, managing, and scaling Hadoop and Spark clusters. An EMR cluster is an assembly of EC2 instances that have been configured and tuned for running data processing frameworks like Apache Hadoop and Apache Spark, which are designed for performing distributed data processing.
EMR often takes away the tediousness of setting up and running computational clusters, thus giving you more time to execute your data processing jobs without thinking much about the low-level setup demands. undefined
- Managed Cluster Lifecycle: Specifically, EMR has the duty of provisioning, configuring, and managing EC2 instances that form a cluster. Another responsibility of the data engineer is the installation and configuration of the software components that are necessary for efficient data processing, ranging from Hadoop, Spark, Hive, and other related tools and libraries.
- Scalable and Elastic: Modern EMR cluster systems are highly scalable and elastic. It is simple to add or remove EC2 instances from your cluster that depend on the scale of data processing, and you only pay for resources you actually use.
- Integrated with AWS Services: EMR is connected to other AWS services like S3 (Amazon Simple Storage Service) for data storage, Amazon CloudWatch for monitoring, and Amazon IAM, short for AWS Identity and Access Management, for data access.
- Multiple Instance Types: With EMR, you can choose different types of EC2 instances, which are ideal for your workload’s performance level. This gives you options, for instance, types for the master node, core nodes, and task nodes within the same cluster.
- Open-Source and Commercial Software: EMR currently supports a variety of open-source projects, specifically Apache Hadoop, Apache Spark, Apache Hive, Apache Pig, and Apache HBase. Another feature of familiarity is that it cooperates with business software, such as Amazon Machine Learning.
How To Create EMR Cluster In AWS Using Terraform ?
In today’s data-driven world, big data processing has become an integral part of many organizations’ workflows. Amazon EMR (Elastic MapReduce) is a cloud-based platform provided by Amazon Web Services (AWS) that simplifies the process of running and scaling Apache Hadoop and Apache Spark clusters for big data processing. EMR takes care of provisioning compute resources, installing and configuring the required software, and managing the cluster lifecycle, allowing you to focus on your data processing tasks rather than the underlying infrastructure.
While you can create an EMR cluster using the AWS Management Console or Command Line Interface (CLI), managing infrastructure as code with Terraform offers several advantages. Terraform is an open-source Infrastructure as Code (IaC) tool that enables you to define, provision, and manage your cloud infrastructure resources in a consistent, repeatable, and version-controlled manner.