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https://www.pluralsight.com/courses/microsoft-azure-data-management-strategy-design
Nov 12, 2018 · Duration. 1h 36m. Description. At the core of designing a data management strategy is a thorough knowledge of data requirements and the data lifecycle. In this course, Design a Data Management Strategy for Microsoft Azure, you’ll learn how to architect a strategy for data management for your organization. First, you’ll learn key aspects ...
https://www.geeksforgeeks.org/data-architecture-design-and-data-management/
Jun 04, 2020 · Data architecture design is important for creating a vision of interactions occurring between data systems, like for example if data architect wants to implement data integration, so it will need interaction between two systems and by using data architecture the visionary model of data interaction during the process can be achieved.. Data architecture also describes the type of data structures ...Estimated Reading Time: 5 mins
https://libraries.mit.edu/data-management/plan/write/
A data management plan (DMP) will help you manage your data, meet funder requirements, and help others use your data if shared. The DMPTool is a web-based tool that helps you construct data management plans using templates that address specific funder requirements. From within this tool, you can save your plans, access MIT-specific information & resources, […]
https://www.aicpa.org/InterestAreas/InformationTechnology/Resources/DataAnalytics/DownloadableDocuments/Overview_Data_Mgmt.pdf
The definition provided by the Data Management Association (DAMA) is: “Data management is the development, execution and supervision of plans, policies, programs and practices that control, protect, deliver and enhance the value of data and information assets.”1 Data management plays a significant role in anFile Size: 1MB
https://web.eecs.umich.edu/~teorey/lec.notes.pdf
Natural data requirements (what goes into the database) 1. Organizational objectives - sell more cars this year - move into to recreational vehicle market 2. Information system objectives - keep track of competitors’ products and prices - improve quality and timing of data to management regarding production schedule delays, etc.
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