The architecture filters, defines, and stores data by using certain types of databases, programs, and applications. Then, when we’re done, there is a nice, clean Data Architecture.”Ī good data architect understands their goal is to maximize the flow of data from consumers to the website, and back again. At many of the companies I visit, the first thing I do is draw a picture of their existing architecture, and you’ll see the spaghetti diagram. “Data Architecture, in its broadest sense, asks, ‘What are we trying to do as a business?’ And then from all the diverse technologies, ‘What’s the best fit for that purpose and how do they work together?’ What’s unique about data is that it’s partly a business role and partly a technology role. Businesses that don’t upgrade their legacy data dumps will suffer gradually decreasing profits due their slowness and inefficiencies.ĭiscussing data architecture, the Managing Director at Global Data Strategy, Donna Burbank said: Instead of reacting to events after the fact, businesses now must anticipate or predict their needs, and the shifts of the market, as a way to optimize outcomes and profits. However, new technologies have dramatically altered the way businesses gather information and serve their customers. Until recently, organizations often built architectures of fairly standard format and called them data warehouses. Models of data processing that implement the intended business model.ĭiagrams representing key data entities and their relationships.Ī list of components needed to build the designed system.
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