Data Modeling
Accurate and well-structured data models are essential for extracting meaningful insights, effective data management, data governance and data classification.
We specialize in conceptual modeling, logical modeling, physical modeling and star schema/snowflake modeling to support applications, operational data stores, data warehouses, lakehouses and data marts.
CONCEPTUAL MODELING
- Conceptual modeling lays the groundwork for your data landscape.
- Our experts create conceptual models by working closely with your business teams to understand overall business objectives, processes, and information needs.
- These high-level representations capture the essential aspects of your data requirements that ensure alignment between your strategic goals and the underlying data infrastructure.
LOGICAL MODELING
- Once the conceptual model is established, our team will translate it into a logical model(s) to enrich the model to address detailed business requirements by adding attributes, relationships, and constraints necessary.
PHYSICAL MODELING
- Physical models define how the data will be stored, accessed, and processed in your chosen database systems.
- Our experts bring your logical model to life by implementing it in a specific technology environment.
- By considering factors such as performance, scalability, and security.
- We ensure that the physical data models align with your organization’s infrastructure and technology stack, guaranteeing that your data infrastructure operates seamlessly and efficiently.