2012, Big Data Analytics and Clustering

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2012

Big Data Analytics

Clustering

Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning Blog

SEPTEMBER 3, 2024

Cost optimization – The serverless nature of the integration means you only pay for the compute resources you use, rather than having to provision and maintain a persistent cluster. This same interface is also used for provisioning EMR clusters. The following diagram illustrates this solution.

AWS

AWS Clustering Big Data Big Data

Machine learning with decentralized training data using federated learning on Amazon SageMaker

AWS Machine Learning Blog

AUGUST 22, 2023

Many ML algorithms train over large datasets, generalizing patterns it finds in the data and inferring results from those patterns as new unseen records are processed. He works with government, non-profit, and education customers on big data, analytical, and AI/ML projects, helping them build solutions using AWS.

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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

Machine learning with decentralized training data using federated learning on Amazon SageMaker

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