Address your desired use case across critical analytic dimensions
Databases & enterprise applications
Legacy on-prem migration to cloud solutions and services
Decoupling monolithic architecture into micro-services
Hybrid/multi-vendor target states
Application & infrastructure modernization
Serverless containers to enable DevSecOps patterns
Build end-to-end serverless applications
Migrate and refactor legacy apps for the cloud
Low/no-code development of “data rich” apps
AI & ML
GenAI readiness and deployment
Feature engineering pipeline
Data sharing, enrichment, and monetization
Custom AI solution development
Create an AI/ML platform (e.g., MLOps)
Data value chain move from assets to products
Data lakes & analytics
Data Unification and DataOps
Data Lake design and build
Data pipelines to support event-driven, real/near real-time needs, including streaming services
ETL/ELT modernization and migration