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당사는 사이트와 서비스를 제공하는 데 필요한 필수 쿠키 및 유사한 도구를 사용합니다. 고객이 사이트를 어떻게 사용하는지 파악하고 개선할 수 있도록 성능 쿠키를 사용해 익명의 통계를 수집합니다. 필수 쿠키는 비활성화할 수 없지만 '사용자 지정' 또는 ‘거부’를 클릭하여 성능 쿠키를 거부할 수 있습니다.

사용자가 동의하는 경우 AWS와 승인된 제3자도 쿠키를 사용하여 유용한 사이트 기능을 제공하고, 사용자의 기본 설정을 기억하고, 관련 광고를 비롯한 관련 콘텐츠를 표시합니다. 필수가 아닌 모든 쿠키를 수락하거나 거부하려면 ‘수락’ 또는 ‘거부’를 클릭하세요. 더 자세한 내용을 선택하려면 ‘사용자 정의’를 클릭하세요.

Use AMS SSP to provision AWS Lake Formation in your AMS account

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Use AMS SSP to provision AWS Lake Formation in your AMS account - AMS Advanced User Guide
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Use AMS Self-Service Provisioning (SSP) mode to access AWS Lake Formation capabilities directly in your AMS managed account. AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis. A data lake enables you to break down data silos and combine different types of analytics to gain insights and guide better business decisions.

Creating a data lake with Lake Formation is as simple as defining data sources and what data access and security policies you want to apply. Lake Formation then helps you collect and catalog data from databases and object storage, move the data into your new Amazon S3 data lake, clean and classify your data using machine learning algorithms, and secure access to your sensitive data. Your users can access a centralized data catalog (for details, see AWS Glue FAQs) that describes available data sets and their appropriate usage. Your users then leverage these data sets with their choice of analytics and machine learning services, like Amazon Redshift, Amazon Athena, and (in beta) Amazon EMR for Apache Spark. Lake Formation builds on the capabilities available in AWS Glue.

To learn more, see AWS Lake Formation.

Lake Formation in AWS Managed Services FAQs

Q: How do I request access to AWS Lake Formation in my AMS account?

Request access by submitting a Management | AWS service | Self-provisioned service | Add (review required) (ct-3qe6io8t6jtny) change type. This RFC provisions the following IAM role to your account: customer_lakeformation_data_analyst_role. After it's provisioned in your account, you must onboard the roles in your federation solution.

Additionally, the following two roles are optional:

  • customer_lakeformation_admin_role

  • customer_lakeformation_workflow_role

For admin permissions, you can choose to onboard the role customer_lakeformation_admin_role as part of the same SSPS change type (ct-3qe6io8t6jtny).

If you want to create Blueprints in the AWS Lake Formation Console, you need to submit a Management | Other | Other RFC (ct-1e1xtak34nx76) to deploy the customer_lakeformation_workflow_role. In the RFC, you must provide the S3 bucket name if the bucket is a source when Blueprints are created. S3 bucket is applicable if the Blueprint type is AWS CloudTrail, Classic Load Balancer Logs or Application Load Balancer Logs.

Q: What are the restrictions to using AWS Lake Formation in my AMS account?

Full functionality of Lake Formation is available in AMS.

Q: What are the prerequisites or dependencies to using AWS Lake Formation in my AMS account?

Lake Formation integrates with the AWS Glue service, therefore AWS Glue users can access only the databases and tables on which they have Lake Formation permissions. Additionally AWS Athena and Amazon Redshift users can only query the AWS Glue databases and tables on which they have Lake Formation permissions.

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