Data Architecture

TeamDNA believes that the best data warehouse/business intelligence installations are built upon a multi-layered and decoupled data architecture. Just as we learned from Mr Inmon back in the early 90’s, our database technologies cannot support mixed use workloads without careful consideration to the design and implementation of the databases ontop of those technologies.

Today’s mixed used enterprise data warehouse/business intelligence implementation must have at least the following data architecture layers to ensure ongoing performance, supportability and extensibility to meet the ever changing demands of the business communities we service:

• Data Acquisition Layer
• Data Transformation Layer
• Data Integration Layer
• Information Delivery Layer
• Information Archive Layer

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