Strategically prepare organizations to evolve quickly and to take advantage of business opportunities inherent in emerging technologies.Image Credit: Businesses Use Data Architecture To: Visual Example of Architectural Data Elements: Data Architecture Elements: Applying architectural data elements, such as those depicted below, to communicate where data exists and how this data moves from one process to another. Machine Learning (ML): Building algorithms that adjust outputs from analyzing and synthesizing new input patterns.DataOps: Monitoring and improving data flow to create predictable data delivery and make existing data structures adaptable.“Models, policies, rules, or standards that govern which data is collected, and how it is stored, arranged and put to use in a database system and or in an organization.” ( Business Dictionary).IT includes rules governing structured formats, such as databases and file systems, and the systems for connecting data with the business process that consumes it.” (Harvard Business Review) “Describes how data is collected, stored, transformed, distributed, and consumed.“Using data effectively and built on a foundation of business requirements.” (McKinsey).“A set of rules, policies, and models that determine what kind of data gets collected, and how it gets used, processed and stored within a database system.” ( Keith D.Foote).“Common vocabulary expressing integrated requirements ensuring that data assets are stored, arranged, managed, and used in systems in support of an organizational strategy.” (Dr.Specifications used to describe existing state, define data requirements, guide data integration, and control data assets as put forth in a data strategy ( DAMA-DMBoK).GET STARTED WITH OUR DATA ARCHITECTURE TRAINING PROGRAM Other Definitions Include:
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