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Version: 0.10.5

SageMaker

Certified

Important Capabilities

CapabilityStatusNotes
Table-Level LineageEnabled by default

This plugin extracts the following:

  • Feature groups
  • Models, jobs, and lineage between the two (e.g. when jobs output a model or a model is used by a job)

CLI based Ingestion

Install the Plugin

pip install 'acryl-datahub[sagemaker]'

Starter Recipe

Check out the following recipe to get started with ingestion! See below for full configuration options.

For general pointers on writing and running a recipe, see our main recipe guide.

source:
type: sagemaker
config:
# Coordinates
aws_region: "my-aws-region"

sink:
# sink configs

Config Details

Note that a . is used to denote nested fields in the YAML recipe.

FieldDescription
aws_region 
string
AWS region code.
aws_access_key_id
string
AWS access key ID. Can be auto-detected, see the AWS boto3 docs for details.
aws_endpoint_url
string
The AWS service endpoint. This is normally constructed automatically, but can be overridden here.
aws_profile
string
Named AWS profile to use. Only used if access key / secret are unset. If not set the default will be used
aws_proxy
map(str,string)
aws_secret_access_key
string
AWS secret access key. Can be auto-detected, see the AWS boto3 docs for details.
aws_session_token
string
AWS session token. Can be auto-detected, see the AWS boto3 docs for details.
extract_feature_groups
boolean
Whether to extract feature groups.
Default: True
extract_jobs
One of string, boolean
Whether to extract AutoML jobs.
Default: True
extract_models
boolean
Whether to extract models.
Default: True
env
string
The environment that all assets produced by this connector belong to
Default: PROD
aws_role
One of string, union(anyOf), string, AwsAssumeRoleConfig
AWS roles to assume. If using the string format, the role ARN can be specified directly. If using the object format, the role can be specified in the RoleArn field and additional available arguments are documented at https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/sts.html?highlight=assume_role#STS.Client.assume_role
aws_role.RoleArn 
string
ARN of the role to assume.
aws_role.ExternalId
string
External ID to use when assuming the role.
database_pattern
AllowDenyPattern
regex patterns for databases to filter in ingestion.
Default: {'allow': ['.*'], 'deny': [], 'ignoreCase': True}
database_pattern.allow
array(string)
database_pattern.deny
array(string)
database_pattern.ignoreCase
boolean
Whether to ignore case sensitivity during pattern matching.
Default: True
table_pattern
AllowDenyPattern
regex patterns for tables to filter in ingestion.
Default: {'allow': ['.*'], 'deny': [], 'ignoreCase': True}
table_pattern.allow
array(string)
table_pattern.deny
array(string)
table_pattern.ignoreCase
boolean
Whether to ignore case sensitivity during pattern matching.
Default: True

Code Coordinates

  • Class Name: datahub.ingestion.source.aws.sagemaker.SagemakerSource
  • Browse on GitHub

Questions

If you've got any questions on configuring ingestion for SageMaker, feel free to ping us on our Slack.