People Who Understand Data and Applications

Our engineers connect business definitions with the way applications store, retrieve, and exchange information. They work with stakeholders to clarify entities, relationships, ownership, and validation rules, then express those decisions in models that developers and analysts can use.

Relational Modeling and SQL

Our technical skills include conceptual, logical, and physical data modeling; key and relationship design; normalization; and integrity constraints. Engineers use SQL and an understanding of application access patterns to examine queries, choose indexes, and consider transaction boundaries. They weigh reporting needs alongside operational workloads.

NoSQL and Access-Pattern Design

Our team evaluates document, key-value, wide-column, and graph approaches against the shape of the data and how it is accessed. Technical considerations include appropriate denormalization, partitioning, consistency requirements, and the cost of keeping related data synchronized. Datastore choices follow application requirements rather than a single preferred model.

Data Mapping, Migration, and Quality

Our people analyze existing schemas, define transformation rules, and plan schema changes as applications evolve. They use validation and reconciliation to check migrated data, document shared definitions, and make relationships between systems explicit. These skills help teams preserve meaning and integrity through integration and modernization.

Explore our data modeling services