AWS Open Source Blog

Tag: apache spark

How TalkingData leverage DJL with PyTorch for Large-Scale Offline Inference

How TalkingData uses AWS open source Deep Java Library with Apache Spark for machine learning inference at scale

This post is contributed by Xiaoyan Zhang, a Data Scientist from TalkingData. TalkingData is a data intelligence service provider that offers data products and services to provide businesses insights on consumer behavior, preferences, and trends. One of TalkingData’s core services is leveraging machine learning and deep learning models to predict consumer behaviors (e.g., likelihood of […]

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How Amazon retail systems run machine learning predictions with Apache Spark using Deep Java Library

Today more and more companies are taking a personalized approach to content and marketing. For example, retailers are personalizing product recommendations and promotions for customers. An important step toward providing personalized recommendations is to identify a customer’s propensity to take action for a certain category. This propensity is based on a customer’s preferences and past […]

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Deploying Spark jobs on Amazon EKS

UPDATE, March 2021: This blog post describes how to deploy self-managed Apache Spark jobs on Amazon EKS. AWS now provides a fully managed service with Amazon EMR on Amazon EKS. This new deployment option allows customers to automate the provisioning and management of Spark on Amazon EKS, and benefit from advanced features such as Amazon […]

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