SageMaker Spark Container download for Windows

This is the Windows app named SageMaker Spark Container whose latest release can be downloaded as 3.4-cpu-py39-v1.0.zip. It can be run online in the free hosting provider OnWorks for workstations.

 
 

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SCREENSHOTS:


SageMaker Spark Container


DESCRIPTION:

Apache Sparkā„¢ is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing. The SageMaker Spark Container is a Docker image used to run batch data processing workloads on Amazon SageMaker using the Apache Spark framework. The container images in this repository are used to build the pre-built container images that are used when running Spark jobs on Amazon SageMaker using the SageMaker Python SDK. The pre-built images are available in the Amazon Elastic Container Registry (Amazon ECR), and this repository serves as a reference for those wishing to build their own customized Spark containers for use in Amazon SageMaker.



Features

  • This project is licensed under the Apache-2.0 License
  • The simplest way to get started with the SageMaker Spark Container is to use the pre-built images via the SageMaker Python SDK
  • To get started building and testing the SageMaker Spark container, you will have to setup a local development environment
  • Many available SageMaker Spark Images
  • Build the pre-built container images that are used when running Spark jobs on Amazon SageMaker
  • It provides high-level APIs in Scala, Java, Python, and R


Programming Language

Python


Categories

Frameworks, Business Performance Management, Data Analytics

This is an application that can also be fetched from https://sourceforge.net/projects/sagemaker-spark-contain.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.



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