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EMR for Data Science

AWS Select Partner

EMR for Data Science Quickstart Data Science work against large data sets requires a distributed computing platform. EMR Notebooks and Sagemaker Studio using EMR Studio is a perfect solution to enabling your data science team. These services are AWS's most potent and complex managed service offerings. Our experienced Solutions Architects and Engineers can help you get started more quickly and help your team produce a secure and efficient solution. In addition to our engineering expertise also brings our library of templates, scripts, and workflows, representing weeks of saved development time.

EMR Studio

EMR Studio is an integrated development environment (IDE) that makes it easy for data scientists and data engineers to develop, visualize, and debug data engineering and data science applications written in R, Python, Scala, and PySpark.

Sagemaker Studio

Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly.


What is Apache Spark™? Apache Spark™ is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.

Infrastructure as Code Templates

Infrastructure as code is the process of provisioning and managing your cloud resources by writing a template file that is both human readable, and machine consumable. For AWS cloud development the built-in choice for infrastructure as code is AWS CloudFormation.