Summary
Data engineering has decentralized to ensure insights-driven applications receive the data and capabilities necessary for intended business outcomes. Data architectures must evolve from centralized bespoke monoliths to adaptable and composable environments for any business outcome. Enterprise and data architects are building outcome-driven architecture patterns to accelerate derivation of value from data and to solve critical problems. Use this report as a reference guide to five data architecture patterns, each of which supports a key business outcome.
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