AWS Big Data Blog
Author: Nidhi Gupta
Nidhi is a Senior Partner Solutions Architect at AWS, specializing in data, AI, and analytics. She leads the Snowflake partnership, helping customers and partners architect and optimize Snowflake workloads on AWS. Nidhi brings extensive experience in production-scale data platforms, machine learning, generative AI, and advanced analytics. She is a frequent speaker at industry events, delivering technical sessions on topics ranging from agentic AI and open lakehouse architecture to enterprise compliance automation.
Break down data silos and seamlessly query Iceberg tables in Amazon SageMaker from Snowflake
This blog post discusses how to create a seamless integration between Amazon SageMaker Lakehouse and Snowflake for modern data analytics. It specifically demonstrates how organizations can enable Snowflake to access tables in AWS Glue Data Catalog (stored in S3 buckets) through SageMaker Lakehouse Iceberg REST Catalog, with security managed by AWS Lake Formation. The post provides a detailed technical walkthrough of implementing this integration, including creating IAM roles and policies, configuring Lake Formation access controls, setting up catalog integration in Snowflake, and managing data access permissions. While four different patterns exist for accessing Iceberg tables from Snowflake, the blog focuses on the first pattern using catalog integration with SigV4 authentication and Lake Formation credential vending.