Overview
Enterprises struggle with outdated data estates that stall innovation, inflate costs, and block AI adoption. YASH Data Platform Modernization Services re engineer these foundations into modern, governed, AI ready ecosystems on AWS. WHAT WE DO • Modernize legacy warehouses into modern scalable lakehouses on Amazon S3 and Apache Iceberg • Migrate EDWs to Amazon Redshift with accelerator led frameworks (AWS DMS, AWS SCT) • Optimize with AI driven observability, FinOps, and self-service BI on Amazon QuickSight and Amazon Q • Integrate Databricks on AWS for advanced analytics and ML workloads KEY BENEFITS • 50% faster migration via automated schema transformation and pipeline stitching • 30% reduction in modernization costs through AI assisted refactoring • 60% drop in monitoring effort with proactive anomaly detection and lineage tracking • 30% faster analytics delivery with reusable semantic models and self service BI • AI ready enterprise foundation for Generative AI, Amazon Q, and AI agents • AWS-backed funding programs and co-innovations labs for rapid POC developments METHODOLOGY — MODERNIZE. MIGRATE. OPTIMIZE. • Modernize: Redesign metadata, governance, and ingestion layers with AWS Lake Formation and Glue Data Catalog • Migrate: Seamless cutover with AI assisted code conversion, dependency analysis, and automated refactoring • Optimize: Unified access, AWS native observability, and AI driven automation for scale and cost governance SERVICE COMPONENTS • Legacy EDW modernization to Amazon Redshift • Data lake/lakehouse implementation on Amazon S3 and Apache Iceberg • Cloud native architecture design with AWS scalability baked in • AI infused accelerators for migration, lineage, and governance • Integration with Databricks and Amazon QuickSight ecosystems PLATFORM REQUIREMENT This listing covers YASH implementation services only. AWS services (Amazon Redshift, Amazon S3, Databricks, QuickSight, etc.) must be procured separately. WHY YASH • 30+ years of customer success, 100+ Fortune 500 clients • Deep AWS + AI expertise across Redshift, S3, Lake Formation, QuickSight, Amazon Q, and Bedrock • Proprietary ADLC methodology ensuring governed, agentic delivery with human in the loop approvals • Accelerator ecosystem reducing risk, cost, and time to value
Highlights
- 50% faster migration: Accelerator led schema transformation, pipeline stitching, and automated refactoring for legacy EDWs to Amazon Redshift.
- AI ready foundations: Trusted, governed data layers enabling Generative AI, Amazon Q, and self service BI from day one
- Proven outcomes: 40% lower modernization costs, 60% drop in monitoring effort, and 30% faster analytics delivery reported by clients.
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