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136 lines
6.5 KiB
Markdown
136 lines
6.5 KiB
Markdown
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---
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title: Sagemaker
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slug: /connectors/ml-model/sagemaker
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---
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{% connectorDetailsHeader
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name="Sagemaker"
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stage="PROD"
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platform="OpenMetadata"
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availableFeatures=["ML Store"]
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unavailableFeatures=["ML Features", "Hyperparameters"]
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/ %}
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In this section, we provide guides and references to use the Sagemaker connector.
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Configure and schedule Sagemaker metadata and profiler workflows from the OpenMetadata UI:
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- [Requirements](#requirements)
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- [Metadata Ingestion](#metadata-ingestion)
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{% partial file="/v1.5/connectors/ingestion-modes-tiles.md" variables={yamlPath: "/connectors/ml-model/sagemaker/yaml"} /%}
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## Requirements
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OpenMetadata retrieves information about models and tags associated with the models in the AWS account.
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The user must have the following policy set to ingest the metadata from Sagemaker.
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```json
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{
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"Version": "2012-10-17",
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"Statement": [
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{
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"Sid": "SageMakerPolicy",
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"Effect": "Allow",
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"Action": [
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"sagemaker:ListModels",
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"sagemaker:DescribeModel",
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"sagemaker:ListTags"
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],
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"Resource": "*"
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}
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]
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}
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```
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For more information on Sagemaker permissions visit the [AWS Sagemaker official documentation](https://docs.aws.amazon.com/sagemaker/latest/dg/api-permissions-reference.html).
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## Metadata Ingestion
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{% partial
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file="/v1.5/connectors/metadata-ingestion-ui.md"
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variables={
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connector: "SageMaker",
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selectServicePath: "/images/v1.5/connectors/sagemaker/select-service.png",
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addNewServicePath: "/images/v1.5/connectors/sagemaker/add-new-service.png",
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serviceConnectionPath: "/images/v1.5/connectors/sagemaker/service-connection.png",
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}
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/%}
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{% stepsContainer %}
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{% extraContent parentTagName="stepsContainer" %}
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#### Connection Details
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- **AWS Access Key ID** & **AWS Secret Access Key**: When you interact with AWS, you specify your AWS security credentials to verify who you are and whether you have
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permission to access the resources that you are requesting. AWS uses the security credentials to authenticate and
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authorize your requests ([docs](https://docs.aws.amazon.com/IAM/latest/UserGuide/security-creds.html)).
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Access keys consist of two parts: An **access key ID** (for example, `AKIAIOSFODNN7EXAMPLE`), and a **secret access key** (for example, `wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY`).
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You must use both the access key ID and secret access key together to authenticate your requests.
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You can find further information on how to manage your access keys [here](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_access-keys.html).
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- **AWS Region**: Each AWS Region is a separate geographic area in which AWS clusters data centers ([docs](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.RegionsAndAvailabilityZones.html)).
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As AWS can have instances in multiple regions, we need to know the region the service you want reach belongs to.
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Note that the AWS Region is the only required parameter when configuring a connection. When connecting to the
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services programmatically, there are different ways in which we can extract and use the rest of AWS configurations.
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You can find further information about configuring your credentials [here](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html#configuring-credentials).
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- **AWS Session Token (optional)**: If you are using temporary credentials to access your services, you will need to inform the AWS Access Key ID
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and AWS Secrets Access Key. Also, these will include an AWS Session Token.
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You can find more information on [Using temporary credentials with AWS resources](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_temp_use-resources.html).
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- **Endpoint URL (optional)**: To connect programmatically to an AWS service, you use an endpoint. An *endpoint* is the URL of the
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entry point for an AWS web service. The AWS SDKs and the AWS Command Line Interface (AWS CLI) automatically use the
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default endpoint for each service in an AWS Region. But you can specify an alternate endpoint for your API requests.
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Find more information on [AWS service endpoints](https://docs.aws.amazon.com/general/latest/gr/rande.html).
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- **Profile Name**: A named profile is a collection of settings and credentials that you can apply to a AWS CLI command.
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When you specify a profile to run a command, the settings and credentials are used to run that command.
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Multiple named profiles can be stored in the config and credentials files.
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You can inform this field if you'd like to use a profile other than `default`.
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Find here more information about [Named profiles for the AWS CLI](https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-profiles.html).
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- **Assume Role Arn**: Typically, you use `AssumeRole` within your account or for cross-account access. In this field you'll set the
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`ARN` (Amazon Resource Name) of the policy of the other account.
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A user who wants to access a role in a different account must also have permissions that are delegated from the account
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administrator. The administrator must attach a policy that allows the user to call `AssumeRole` for the `ARN` of the role in the other account.
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This is a required field if you'd like to `AssumeRole`.
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Find more information on [AssumeRole](https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRole.html).
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- **Assume Role Session Name**: An identifier for the assumed role session. Use the role session name to uniquely identify a session when the same role
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is assumed by different principals or for different reasons.
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By default, we'll use the name `OpenMetadataSession`.
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Find more information about the [Role Session Name](https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRole.html#:~:text=An%20identifier%20for%20the%20assumed%20role%20session.).
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- **Assume Role Source Identity**: The source identity specified by the principal that is calling the `AssumeRole` operation. You can use source identity
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information in AWS CloudTrail logs to determine who took actions with a role.
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Find more information about [Source Identity](https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRole.html#:~:text=Required%3A%20No-,SourceIdentity,-The%20source%20identity).
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{% /extraContent %}
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{% partial file="/v1.5/connectors/test-connection.md" /%}
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{% partial file="/v1.5/connectors/ml-model/configure-ingestion.md" /%}
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{% partial file="/v1.5/connectors/ingestion-schedule-and-deploy.md" /%}
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{% /stepsContainer %}
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{% partial file="/v1.5/connectors/troubleshooting.md" /%}
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