ContextQMD
Back to Airflow

Amazon SageMaker Unified Studio

providers/amazon/docs/operators/sagemakerunifiedstudio.rst

3.2.13.2 KB
Original Source

.. Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

.. http://www.apache.org/licenses/LICENSE-2.0

.. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

=============================== Amazon SageMaker Unified Studio

Amazon SageMaker Unified Studio <https://aws.amazon.com/sagemaker/unified-studio/>__ is a unified development experience that brings together AWS data, analytics, artificial intelligence (AI), and machine learning (ML) services. It provides a place to build, deploy, execute, and monitor end-to-end workflows from a single interface. This helps drive collaboration across teams and facilitate agile development.

Airflow provides operators to orchestrate Notebooks, Querybooks, and Visual ETL jobs within SageMaker Unified Studio Workflows.

Prerequisite Tasks

To use these operators, you must do a few things:

  • Create a SageMaker Unified Studio domain and project, following the instruction in AWS documentation <https://docs.aws.amazon.com/sagemaker-unified-studio/latest/userguide/getting-started.html>__.
  • Within your project:
    • Navigate to the "Compute > Workflow environments" tab, and click "Create" to create a new MWAA environment.
    • Create a Notebook, Querybook, or Visual ETL job and save it to your project.

Operators

.. _howto/operator:SageMakerNotebookOperator:

Create an Amazon SageMaker Unified Studio Workflow

To create an Amazon SageMaker Unified Studio workflow to orchestrate your notebook, querybook, and visual ETL runs you can use :class:~airflow.providers.amazon.aws.operators.sagemaker_unified_studio.SageMakerNotebookOperator.

.. exampleinclude:: /../../amazon/tests/system/amazon/aws/example_sagemaker_unified_studio.py :language: python :dedent: 4 :start-after: [START howto_operator_sagemaker_unified_studio_notebook] :end-before: [END howto_operator_sagemaker_unified_studio_notebook]

The following example adds domain ID, project ID, and domain name as operator parameters.

.. exampleinclude:: /../../amazon/tests/system/amazon/aws/example_sagemaker_unified_studio.py :language: python :dedent: 4 :start-after: [START howto_operator_sagemaker_unified_studio_notebook_explicit_params] :end-before: [END howto_operator_sagemaker_unified_studio_notebook_explicit_params]

Reference

  • What is Amazon SageMaker Unified Studio <https://docs.aws.amazon.com/sagemaker-unified-studio/latest/userguide/what-is-sagemaker-unified-studio.html>__