{"@id":"https://credentialengineregistry.org/resources/ce-79e1d16c-b79d-4892-b4cb-aa4c8818e1bf","@type":"ceterms:OpenBadge","@context":"https://credreg.net/ctdl/schema/context/json","ceterms:ctid":"ce-79e1d16c-b79d-4892-b4cb-aa4c8818e1bf","ceterms:name":{"en-US":"WGU Specialization: Data Engineering Professional v1.0"},"ceterms:image":"https://api.badgr.io/public/badges/2QcAP_hFRaCFvVmGPAhINw/image","ceterms:ownedBy":["https://credentialengineregistry.org/resources/ce-036d082d-d80e-41a7-99a0-2d63a4ad3a4a"],"ceterms:requires":[{"@type":"ceterms:ConditionProfile","ceterms:name":{"en-US":"Open Badges Criteria"},"ceterms:assertedBy":["https://credentialengineregistry.org/resources/ce-036d082d-d80e-41a7-99a0-2d63a4ad3a4a"],"ceterms:description":{"en-US":"Credential Detail\n\nRecipients of WGU's Data Engineering Specialization have demonstrated competence in the following areas via rigorous assessment activities completed through Western Governors University:\n\nCloud Databases\n\nThe learner explains the advantage of using a cloud data solution.  \nThe learner recommends a cloud data storage structure to address organizational requirements. \nThe learner implements a cloud data storage structure to address organizational requirements.\n\nData Processing\n\nThe learner recommends a data processing solution that includes a data flow diagram and a process flow diagram.    \nThe learner implements a process that extracts, transforms, and loads data for use. \nThe learner creates a plan for continuous monitoring of data processing pipelines.\n\nData Analytics at Scale\n\nThe learner explains the advantage of using a big data analytics solution. \nThe learner proposes a large-scale data analytics solution to meet a business need.   \nThe learner implements a big data architecture to demonstrate the solution to the business problem.\n\nCompetency Demonstration Highlights\n\nRecipients of this credential complete the following tasks and deliverables as part of their assessment activities:\n\nRecommended a cloud-based business solution based on an analysis of functional and non-functional requirements. \nDocumented proposed cloud storage solution for an organization based on the organization's requirements. \nDesigned and built a sandbox environment to demonstrate proposed cloud storage solution.\nRecommended a comprehensive data flow solution for an organization that optimally integrates with the organization's existing systems and processes.\nExtracted data from provided data sources and transformed it to meet business and analytical requirements before loading it into a designated data repository.\nDeveloped a comprehensive plan for continuous monitoring of data systems to ensure the integrity, reliability, and efficiency of the data processing system.\nProposed a big data architecture solution to address a business need and created a presentation to communicate the proposal to appropriate stakeholders.\nDemonstrated how to implement a data architecture solution in a sandbox environment."},"ceterms:targetCompetency":[{"@type":"ceterms:CredentialAlignmentObject","ceterms:targetNode":"https://www.onetonline.org/link/summary/15-1243.00","ceterms:codedNotation":"15-1243.00","ceterms:frameworkName":{"en-US":"O*Net OnLine by U.S. Department of Labor"},"ceterms:targetNodeName":{"en-US":"Database Architects"},"ceterms:targetNodeDescription":{"en-US":"Design strategies for enterprise databases, data warehouse systems, and multidimensional networks. 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