Although data and analytics sits at the core of digital platforms, many architectural approaches can be taken. Data and analytics leaders must navigate three options — which are both competing and complementary — to support increasingly complex, diverse and distributed data management workloads.
- Assess the Processing Flexibility, Semantic Enablement and Range of Use Cases Your Stakeholders Require
- Balance Capabilities and Desired Outcomes Across the Three Key Structure Types
- Reconfigure the Patterns and Connections Between the Various Architectural Types as Business Requirements Evolve
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