This presentation introduces architecture driven modernization approach of the Object Management Group (OMG), discusses the benefits in using it, connects it to model driven architecture (MDA), presents various implementation scenarios for architecture driven modernization, and illustrates the concepts with a case study.
This academic thesis proposes a model driven approach to modernizing legacy information systems. The legacy system is first modeled and then this model is converted to a model driven system using model driven engineering i.e. a model is constructed and an MDE tool is used to generate the executable transformation code for it. (80+ pages)
This document discusses the considerations in adopting cloud computing in a government organization. The objective is to create a coordinated approach to implementing cloud computing across the enterprise with a pilot to get the ball rolling.
This paper defines big data, describes the critical role of enterprise architecture planning in successfully meeting business objectives in implementing big data and presents an action plan to harness the power of big data now and in the future.
Discover virtualization’s benefits and best practices with this CIO’s Guide to Virtualization e-Book. Optimize your IT resources and reduce costs today. (150+ pgs)
Discover how to revolutionize your IT infrastructure with this comprehensive CIO’s Guide to Cloud Computing. Learn to navigate challenges, develop an implementation roadmap, and leverage big data effectively. Transform your organization with the power of the cloud.
Primer on big data introduces the topic, discusses the drivers for big data, the value delivered through big data, tools and technologies used to implement big data, and challenges and risks in implementing big data.
This report defines big data and describes its characteristics, discusses the need for big data governance, and makes recommendations for big data usage for public sector organizations.
This research report digs into big data to provide the reader with a solid background on the topic of big data analytics, including business and technology <span style="line-height: 1.6em;">drivers, successful business use cases, and common technology enablers. The report also uses survey data to project the future of the most common tool types, features, and functions associated with big data analytics, so users can apply this information to planning their own programs and technology stacks for big data analytics.</span>
Big Data analytics guide outlines the business case for big data, technology innovations, real-world examples, and insights from analytic leaders who are on the forefront of the Big Data market, and interesting market research statistics that highlight how C-level executives are using Big Data now and their plans for using it to their advantage in the future.
