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.
Download and run online this app named SageMaker Spark Container with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS
Ad
SageMaker Spark Container
DESCRIPTION
Apache Spark™ 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
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.
