AWS Elastic MapReduce

The most reliable platform for Big Data and scalable analysis
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A NEW WAY OF PROCESSING LARGE VOLUMES OF DATA

By replacing complex on-premises clusters with a fully managed solution, AWS Elastic MapReduce (EMR) offers scale, reliability and economy for large-scale analysis.

Recognized as one of the most widely used Big Data services in the cloud, AWS EMR allows the user to run frameworks such as Apache Spark, Apache Hadoop, Apache Hive, Presto and Apache HBase simply and efficiently. The result is a significant reduction in time, cost and complexity when processing petabytes of data. In addition, AWS EMR integrates easily with other AWS services, making it possible to create modern, highly scalable data and analytics solutions.

How AWS EMR works

AWS EMR is a fully managed Big Data service that simplifies the processing of large amounts of data with open source tools. It automatically provisions, configures and adjusts clusters according to demand, therefore guaranteeing both flexibility and performance.

With AWS EMR, your organization can run interactive analysis, Extract, Transform and Load (ETL) pipelines, machine learning (ML) workloads or log processing on a large scale, without the burden of managing the infrastructure.

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Benefits

  • On-demand scalability: Increase or reduce cluster capacity quickly, paying only for what you use.
  • Cost optimization: Reduce expenses with spot instances and auto-scaling.
  • Native integration with the AWS ecosystem: Easily connect to Amazon S3, Amazon RDS and Amazon Redshift.
  • Less operational complexity: Service takes care of patching, provisioning and monitoring, freeing your team to innovate.
  • Flexible workloads: From Machine Learning to real-time data analysis, all in an agile and secure environment.

Practical applications

  • Big Data processing: Apache Hadoop, Apache Spark or Apache Hive workloads for analyzing logs, clicks and Internet of Things data.
  • Data lakes and analytics: Creation of data lakes in Amazon S3 with fast and scalable queries.
  • ML: Training and processing large-scale distributed models.
  • Large-scale ETL: Complex data transformations with high performance and low cost.
  • Research and data science: Temporary and flexible environments for exploring massive datasets.

AWS EMR is part of an advanced analytics ecosystem within AWS:

  • Amazon S3: Secure and durable storage for large volumes of data.
  • AWS Glue: Data catalogs and pipeline orchestration.
  • Amazon CloudWatch: Cluster monitoring and observability.
  • AWS IAM: Robust access control and security.
  • Amazon SageMaker: Large-scale machine learning integrated with data processing.

Carlos Kazuo Missao

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Your expert | Innovation
Global Head of Innovation Solutions, Americas GFT
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