Data Modeling & Architecture

"Without proper data modeling, every analyst and data scientist builds their own version of truth, and inconsistent definitions for core metrics like 'revenue' or 'active customer' undermine trust in every downstream output. CloudAI's Data Modeling & Architecture designs dimensional models, data vaults, or hybrid schemas optimized for your analytical and AI workloads on AWS — so the whole organization works from a single source of truth.

Related AWS services and AWS Marketplace products this engagement supports:

• AWS Glue Data Catalog
• Amazon DataZone
• AWS Lake Formation
• Amazon Redshift

Poor data architecture compounds technical debt and makes AI features nearly impossible to build reliably. CloudAI builds semantic layers and business glossaries in Amazon DataZone, data catalogs in AWS Glue Data Catalog, fine-grained access policies in AWS Lake Formation, and dimensional schemas in Amazon Redshift, and defines naming conventions, data classification, and metadata standards — giving you AI-ready structures that cut feature-engineering time dramatically.

Learn more about our full portfolio of AI and data solutions at https://cloudaillc.com/solutions/ai-and-data .

CloudAI Data Modeling & Architecture services include, but are not limited to:

Dimensional models, data vaults, and hybrid schemas on Amazon Redshift Semantic layer design in Amazon DataZone Business glossaries and consistent metric definitions Data catalog implementation on AWS Glue Data Catalog Naming conventions and metadata standards Data classification frameworks (with AWS Lake Formation permissions) Self-service data structures AI-ready feature and entity modeling for Amazon SageMaker Feature Store

Note: This professional services engagement is billed entirely through AWS Marketplace. Any AWS services or AWS Marketplace products provisioned in the customer's AWS account during or after the engagement are billed separately by AWS and are the customer's responsibility."