In a 2017 trends report, data architecture is labeled as both a business and technical decision, given the emergence of new business models and innovations that are increasingly being driven by data and innovation. The data architecture principles on which the entire framework is based considers data as an asset defined on pre-set parameters and is accessible, shareable, manageable, and can be secured.Įnterprises deploy data architecture to primarily convert business needs into data and system requirements, align business processes with IT systems, and manage the complex flow of data and information within the organization. Foote of Dataversity defines Data architecture as "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." The framework is created to secure sensitive data yet making the most relevant pieces accessible by authorized people at the right time. Simply put, Data Architecture is the organizational framework aligned with business processes that standardize the process of data collection, storage, transformation, distribution, and usage. Before we elaborate on what does a data architect do, let us understand what is Data Architecture. Data Architect or Big Data Architect is one such role that is highly pertinent in today's data-driven world. 71% of these businesses are of the view that organizational spending on data and analytics is going to speed up in the next few years.Īmidst the buzz around Data and the advanced level chatter about Big Data, several new organizational roles have emerged that are helping companies source, process, and assimilate complex data daily, from within the enterprise and beyond. There isn't a single organization today that doesn't attempt to harness the power of data to find solutions to problems, make informed decisions, deploy strategy efficiently, and run smooth business operations cost-effectively.Īccording to a Forbes article, 52% of global enterprises are actively analyzing data to derive operational insights for making better decisions. DATA- the four-letter word is a tremendous force that drives modern-day businesses.
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