AWS managedservices documentation change
Summary
Changed 'FAQs' to 'FAQ' and updated AWS Glue link reference
Security assessment
Formatting/link updates without security content changes
Diff
diff --git a/managedservices/latest/onboardingguide/lake-formation.md b/managedservices/latest/onboardingguide/lake-formation.md index a82e17e56..26d24a4e2 100644 --- a//managedservices/latest/onboardingguide/lake-formation.md +++ b//managedservices/latest/onboardingguide/lake-formation.md @@ -5 +5 @@ -Lake Formation in AWS Managed Services FAQs +Lake Formation in AWS Managed Services FAQ @@ -11 +11 @@ Use AMS Self-Service Provisioning (SSP) mode to access AWS Lake Formation capabi -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](https://aws.amazon.com/glue/faqs/#AWS_Glue_Data_Catalog/)) 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](https://aws.amazon.com/redshift/), [Amazon Athena](https://aws.amazon.com/athena/), and (in beta) [Amazon EMR](https://aws.amazon.com/emr/) for Apache Spark. Lake Formation builds on the capabilities available in [AWS Glue](https://aws.amazon.com/glue/). +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 FAQ](https://aws.amazon.com/glue/faqs/#AWS_Glue_Data_Catalog/)) 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](https://aws.amazon.com/redshift/), [Amazon Athena](https://aws.amazon.com/athena/), and (in beta) [Amazon EMR](https://aws.amazon.com/emr/) for Apache Spark. Lake Formation builds on the capabilities available in [AWS Glue](https://aws.amazon.com/glue/). @@ -15 +15 @@ To learn more, see [AWS Lake Formation](https://aws.amazon.com/lake-formation/). -## Lake Formation in AWS Managed Services FAQs +## Lake Formation in AWS Managed Services FAQ