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Modernizing Financial Analytics with SageMaker Unified Studio

Modernizing Financial Analytics with SageMaker Unified Studio

1
posts
2026

This feature thread tracks the evolution of modernizing financial analytics platforms by integrating data engineering, analytics, and AI/ML workflows into a unified, governed environment. Initial focus is on enabling direct querying of data lakes (Amazon S3) without synchronization, adopting usage-based compute, and centralizing governance. Subsequent evolution addresses the migration of specific financial use cases, such as portfolio MIS and risk reporting, to cloud-native lakehouse architectures using Amazon SageMaker Unified Studio, Amazon Athena, Amazon EMR Serverless, and integrating with generative AI capabilities like Amazon Bedrock.

2026

Modernizing financial analytics with Amazon SageMaker Unified Studio | Amazon Web Services

6/22/2026

This post details Avanse Financial Services' migration from a disconnected data lake and external analytics application to a cloud-native lakehouse architecture using Amazon SageMaker Unified Studio. It outlines the challenges of daily data synchronization, fixed licensing costs, limited auditability, lack of centralized data discovery, and disconnectedness from AWS services. The solution involves a three-layer architecture (Data, Compute, Governance) leveraging Amazon S3, AWS Glue Data Catalog, SageMaker Unified Studio, Athena, EMR Serverless, IAM Identity Center, SageMaker Catalog, and Amazon DataZone. The migration journey is described in five phases: technical validation, data migration and storage optimization, compute modernization, governance implementation, and use case migration, focusing on replacing manual data copies with direct querying and implementing project-based isolation and centralized governance.