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Students interested in collecting or generating data in the course of their research will learn how to manage data.
Scalability eliminates obstacles to integrating new data sources, supporting more users, handling bigger workloads and launching new services—which means your business can grow with out disruption. Data Management & Architecture (DMA) brings you a methodology for maintaining consistent data across diverse business functions. MKTs DMA solution enables an enterprise to govern, create, maintain, use, and analyze consistent, complete, contextual, and accurate master data information for all stakeholders, such as line of business systems, data warehouses, and trading partners. Provides high value actionable services over the data that create business value, such as by triggering data governance policies to resolve name conflicts and triggering actions based upon changes to data, such as when a name or an address changes. MKT’s DMA solution is more than maintaining a central repository of master data within the enterprise.
It should provide a framework to manage and maintain master data as an authoritative source, and securely deliver accurate, up-to-date master data across the enterprise to authorized users and systems. It should make accurate critical business information available as a service that can be used in the context of a business process at the right time by any authorized user, application, or process within the enterprise.


It should provide the ability to cleanse data being used operationally, to improve the quality and make it more consistent for use in the operational environment. Deploy very large scale fabrics with easily automatable capabilities that include virtual extensible LAN (VXLAN) visibility on Cisco Nexus LAN fabrics. Cisco Data Center Network Manager offers network management system (NMS) support for traditional or multiple-tenant LAN and SAN fabrics on a single pane of glass. Data Center Network Manager offers intuitive, multi-fabric topology views for LAN fabric and storage. The purpose of the course is to develop an understanding of the requirements for data management and to create a data management plan for a particular research project.
Effective data management enables better management decisions, reduces risks and enhances productivity and operational efficiency.
It provides a customizable framework of components that control the lifecycle management of master data, quality and integrity of the data, and stateless services to control the consumption and distribution of data. The DMA reference architecture provides a resilient, adaptive architecture to enable and ensure high performance and sustained value.


Cisco Data Center Network Manager delivers management for Cisco Nexus 5000, 6000, 7000, and 9000 Series Switches in Cisco NX-OS mode and MDS 9000 series SAN switches. Data management is an essential part of the research process, and data management plans have become a requirement for much grant-funded research.
Topics covered include: intellectual property, file management, metadata, digital preservation and access. The course will review interdisciplinary differences, and assignments will be tailored to the research project of the individual student. In order to be successful, students should have a research project in mind and will complete the course with a data management plan for their project.



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