That’s the importance of a solid data architecture - it’s the backbone of a data-driven organization, the robust infrastructure that supports its existing data requirements and scales to match data and infrastructure growth. A data architecture is the plan for ingesting, storing and delivering the data, while the data platform is the machine that accesses, moves, analyzes, correlates and validates data for end users. A data architecture is not a data platform. And at a speed, and with a degree of trust, that gives you actionable, real-time insights.Ī data architecture is essentially a framework for an organization’s data environment. In essence, an effective enterprise data platform will let you work with any and every data set, regardless of what it is, where it is (structured database or vast data lake), or how much of it there is.
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