Skip to main content

A python Package to enhance experience of SageMaker Unified Studio

Project description

SageMakerStudioDataEngineeringExtensions

SageMaker Unified Studio Data Engineering Extensions

This package contains several extensions that enhance the experiences for SageMakerStudioDataEngineeringSessions.

This pacakge is depend on SageMaker Unified Studio environment.

List of extensions

  • SageMaker Connection Magic JupyterLab Extension
  • SageMaker Data Explorer
  • SageMaker Jupyter Server Extension
  • SageMaker Spark Monitor
  • SageMaker Unified Studio Theme
  • SageMaker UI Doc Manger JupyterLag Plugin

How to install these extensions

Conda

For Conda users, if you install this package via Conda, all of these extensions are installed by default.

PyPi

For PyPi users, if you install this package via pip install, all of these extensions are installed by default.

Extension Details

SageMaker Connection Magic JupyterLab Extension

This package contains a JupyterLab extension which provides a user-friendly experience for switching between different computes. For example, you can use this extension to easily switch from local python compute to different remote computes like EMR Cluster/Glue/EMR-Serverless.

SageMaker Data Explorer

This package contains a JupyterLab extension which provides a side tab inside JupyterLab. That tab supports browsering data from different data source like Redshift/S3/LakeHouse.

SageMaker Jupyter Server Extension

This package contains some Jupyter Server api to support other extensions in SageMaker Unified Studio.

SageMaker Spark Monitor

This package contains a JupyterLab extension which provides a widget showing the progress of a running spark application in remote compute.

Setup

To load this extension, make sure you have iPython config file generated. If not, you could run ipython profile create, then a file with path ~/.ipython/profile_default/ipython_config.py should be generated

Then you will need to add the following line in the end of that config file

c.InteractiveShellApp.extensions.extend(['sagemaker_sparkmonitor.kernelextension'])

once that config is added, restart the JupyterLab kernel to make the config change apply

SageMaker Unified Studio Theme

This package contains a custom Theme for SageMaker Unified Studio

SageMaker UI Doc Manger JupyterLag Plugin

This package is a JupyterLab extension which supports a shortcut from SageMaker Unified Studio portal to open a notebook in JupyterLab.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file sagemaker_studio_dataengineering_extensions-1.2.13.tar.gz.

File metadata

File hashes

Hashes for sagemaker_studio_dataengineering_extensions-1.2.13.tar.gz
Algorithm Hash digest
SHA256 9fb2a8d861116d8c773e66744d482b6a01e01156604f7f51bb119e872bf9b0f0
MD5 3f827af3568a1438b8e565e634300bc3
BLAKE2b-256 fe7a307ad7421b69ecea779ecc4b3585aba6781c206617092386e7436b2e0dbb

See more details on using hashes here.

File details

Details for the file sagemaker_studio_dataengineering_extensions-1.2.13-py3-none-any.whl.

File metadata

File hashes

Hashes for sagemaker_studio_dataengineering_extensions-1.2.13-py3-none-any.whl
Algorithm Hash digest
SHA256 9e3256064f7888f2b5787fab6e2069322ff9d53c24750d57b34c0b4cf91a4b72
MD5 65e9e971b6323ff76098c881a87d3f79
BLAKE2b-256 9d1a6fce56b4d34d1575c3dd1bd8cf0e0c2058788d6c28f12f4c5f7109de59e3

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page