Category: Analytics
Service: AWS Lake Formation
Answer:
AWS Lake Formation offers several features to help organizations govern and secure their data lake, including data cataloging, access control, data lineage tracking, and compliance controls.
Data cataloging is a crucial component of data governance in AWS Lake Formation. The AWS Glue Data Catalog provides a centralized metadata repository that allows users to discover and search for data assets. The catalog includes information about data sources, data sets, tables, and columns, as well as data quality metrics, annotations, and tags.
Access control is another important aspect of data governance in AWS Lake Formation. Users can define fine-grained access policies that govern who can access specific data sets, tables, or columns, and what actions they can perform on them. Access policies can be defined at the resource level, the database level, or the column level, and can be enforced across multiple AWS services, including Amazon S3, Amazon Redshift, and Amazon Athena.
Data lineage tracking is essential for ensuring data accuracy, consistency, and compliance. AWS Lake Formation automatically captures data lineage information as data moves through the data lake, from ingestion to transformation to consumption. Data lineage information includes the source of the data, the transformations applied to it, and the users who accessed it.
Finally, AWS Lake Formation offers several compliance controls to help organizations meet regulatory requirements, such as HIPAA, GDPR, and SOC 2. These controls include encryption at rest and in transit, audit logging, and data retention policies. Additionally, AWS Lake Formation integrates with AWS Identity and Access Management (IAM) to provide authentication and authorization services, as well as AWS Key Management Service (KMS) for managing encryption keys.
Get Cloud Computing Course here
