Skip to main content

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.

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-1.3.14.tar.gz.

File metadata

File hashes

Hashes for sagemaker_studio_dataengineering_extensions-1.3.14.tar.gz
Algorithm Hash digest
SHA256 ddda67282aacce7098daa431949c3073e5e80644dc1523dcb91a6aeb58af5ea0
MD5 21eca022fba994ff115b160447717af5
BLAKE2b-256 3893a95461fdc4458c545091b0b2a2941f1223ef1d4a37f39575a8ff6a1ad2f0

See more details on using hashes here.

File details

Details for the file sagemaker_studio_dataengineering_extensions-1.3.14-py3-none-any.whl.

File metadata

File hashes

Hashes for sagemaker_studio_dataengineering_extensions-1.3.14-py3-none-any.whl
Algorithm Hash digest
SHA256 1567a136ddde1c98dc098035adc28dd7b920de52b80ac6827c32316f6c1cf675
MD5 23d35a677cedc2bf398cf0c354145ed5
BLAKE2b-256 a732bc9220cbf263a45b766ad845a96958fb373069d7c81a698f8abdebe95bb1

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

1.3.14 This release

2 files

1.3.13

2 files

1.3.12

2 files

1.3.11

2 files

1.3.10

2 files

1.3.9

2 files

1.3.8

2 files

1.3.7

2 files

1.3.4

2 files

1.3.3

2 files

1.3.2

2 files

1.2.13

2 files

1.2.12

2 files

1.2.11

2 files

1.2.10

2 files

1.2.9

2 files

1.2.8

2 files

1.2.7

2 files

1.2.6

2 files

1.2.5

2 files

1.2.4

2 files

1.2.3

2 files

1.2.2

2 files

1.2.1

2 files

1.2.0

2 files

1.1.5

2 files

1.1.4

2 files

1.1.3

2 files

1.1.2

2 files

1.1.1

2 files

1.1.0

2 files

1.0.12

2 files

1.0.11

2 files

1.0.10

2 files

1.0.9

2 files

1.0.8

2 files

1.0.7

2 files

1.0.5

2 files

1.0.4

2 files

1.0.3

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page