A naukri.com initiative
Amazon
1M
260
Image Credit: Amazon
Fine-grained access control in Amazon EMR Serverless with AWS Lake Formation
- AWS has introduced general availability of its fine-grained access control based on Lake Formation for Amazon EMR Serverless on Amazon EMR 7.2, enhancing data governance and security frameworks.
- Fine-grained access control restricts access to specific data subsets, protecting sensitive information and maintaining regulatory compliance.
- EMR Serverless users can now enforce data access controls using Lake Formation when reading data from Amazon S3, allowing for robust data processing workflows and real-time analytics without the overhead of cluster management.
- Use cases for fine-grained access control in analytics include customer 360, financial reporting, healthcare analytics, and supply chain optimization.
- The integration supports modern data lake architectures, such as data mesh, by providing a seamless way to manage and analyze data.
- The solution overview involves setting up a centralized data lake in a primary AWS account, while allowing controlled access to this data from secondary AWS accounts, using cross-account fine-grained access control.
- AWS EMR Serverless with Lake Formation uses Spark resource profiles to create two profiles and two Spark drivers for access control.
- A performance overhead can be expected after enabling Lake Formation, and the level of access and amount of data filtered will have a significant impact on query performance.
- Cleaning up the resources is recommended to avoid incurring ongoing costs after use.
- The approach simplifies data management in the main account while carefully controlling how users access data in other secondary accounts.
Read Full Article
15 Likes
For uninterrupted reading, download the app