Data Migration from RDBMS to Hadoop

Oracle, IBM, Microsoft and Teradata own a large portion of the information on the planet. By that on the off chance that we run an inquiry in any piece of the world, it is likely that you are perusing the information from a Database possessed by them. The bigger the volume of information moves from Oracle to DB2 or other is testing assignment for the business. The conception of Hadoop and NoSQL innovation spoke to a seismic movement that shook the RDBMS market and offering a different option for organizations. The Database merchants moved rapidly to Big Data for position and opposite. Indeed, even everybody has own enormous information innovation like prophet NoSQL and mongo DB ,There is a colossal business sector for an elite information movement that can duplicate the information and put away in RDBMS Databases to Hadoop or NoSQL databases. Current data is available in the RDBMS databases like oracle, SQL Server, MySQL and Teradata. We are planning to migrate RDBMS data to big data which is support NoSQL database and contains verity of data from the existed system it’s take huge resources and time to migrate pita bytes of data. Time and resource may be constraints for the current migrating process

Meaningfulness in the Work of Language Professionals

This qualitative study explores the changes that a specific group of knowledge workers – language professionals in Finland – have undergone in their work and how they perceive the meaningfulness of their work as a result. The data presented in this article has been collected through group interviews and is part of a larger data set. To make sense of our data, we use thematic analysis and the framework of meaningful work presented by Rosso et al. For some of our research participants, the factors of meaningful work are present. For others, changes in work, such as platform work and outsourcing, have reduced autonomy and development possibilities. We conclude by discussing the implications of our findings

“Open” disclosure of innovations, incentives and follow-on reuse: Theory on processes of cumulative innovation and a field experiment in computational biology

AbstractMost of society's innovation systems – academic science, the patent system, open source, etc. – are “open” in the sense that they are designed to facilitate knowledge disclosure among innovators. An essential difference across innovation systems is whether disclosure is of intermediate progress and solutions or of completed innovations. We theorize and present experimental evidence linking intermediate versus final disclosure to an ‘incentives-versus-reuse’ tradeoff and to a transformation of the innovation search process. We find intermediate disclosure has the advantage of efficiently steering development towards improving existing solution approaches, but also has the effect of limiting experimentation and narrowing technological search. We discuss the comparative advantages of intermediate versus final disclosure policies in fostering innovation

Parallel parsing made practical

The property of local parsability allows to parse inputs through inspecting only a bounded-length string around the current token. This in turn enables the construction of a scalable, data-parallel parsing algorithm, which is presented in this work. Such an algorithm is easily amenable to be automatically generated via a parser generator tool, which was realized, and is also presented in the following. Furthermore, to complete the framework of a parallel input analysis, a parallel scanner can also combined with the parser. To prove the practicality of a parallel lexing and parsing approach, we report the results of the adaptation of JSON and Lua to a form fit for parallel parsing (i.e. an operator-precedence grammar) through simple grammar changes and scanning transformations. The approach is validated with performance figures from both high performance and embedded multicore platforms, obtained analyzing real-world inputs as a test-bench. The results show that our approach matches or dominates the performances of production-grade LR parsers in sequential execution, and achieves significant speedups and good scaling on multi-core machines. The work is concluded by a broad and critical survey of the past work on parallel parsing and future directions on the integration with semantic analysis and incremental parsing

Dancing in the Dark-Social Media Tactics in the News Industry

The news media ecosystem has expanded over the years leading up to today’s society to include advertisers, newspapers and other media houses, content producers, along with new players like social media platforms to together form a value packed mix of services for end-users to embrace. The shift from being a dominant platform owner concerning the printed paper, often with its own distribution network, presents the newspaper with many challenges when transforming into, or entering other platform owners’ ecosystems. While previous research has mainly focused on the newspaper industry’s development of strategies for embracing social media into their ecosystem, this study investigates newspaper workers’ social media usage for the purpose of attracting attention and generating value. The study of newspaper workers’ practices shows that, moving into digital platforms controlled by other dominant actors in the ecosystem, workers enact a tactical approach. Two tactics are identified: adaption and exploitation. The paper contributes with empirical insights into how newspaper workers develop practices to embrace social media that goes beyond previous research on social media strategy. We also apply the theory of everyday tactics developed by Michel de Certeau as a scaffold to theorize newspaper positioning in the rapidly changing news media landscape

Metaversia: a mooc model for higher education

Globalization and economic interdependency of a post-modern society point toward an internationalization mission for the university. However, on a global scale, social, economic, and cultural circumstances have significant effects upon an individual’s ability to show the merit required in higher education. The growing open access movement reveals the early emergence of a meta-university that bring cost-efficiencies to institutions through the shared development of educational materials, which is particularly important to the developing world. But despite the huge success in the dissemination and democratization of knowledge provided by the open access movement, it has attached a severe financial downside, and configures a hamper in educational innovation due to its failure in harnessing Web 2.0 collaborative technologies. In order to find a model that better suits the needs of collaborative teaching and learning in a networked information economy, two approaches are followed in this dissertation. The first consists in the analysis and comparison of the open education ecosystem. On the other approach, based on the previous results, we propose a MOOC model, Metaversia, for a collaborative network that harness the capital exchange potential, and knowledge-building opportunities that rests on the connections between people, enabling citizen's full participation in the actual networked information economy.A globalização e interdependência económica de uma sociedade pós-moderna impelem a universidade para uma missão de internacionalização. Mas à escala global, circunstâncias sociais, económicas e culturais têm implicações significativas sobre a capacidade dos indivíduos em mostrar o mérito exigido no ensino superior. O movimento de acesso livre revela o surgimento precoce de uma meta universidade que traz mais valias do ponto de vista financeiro para as universidades através do desenvolvimento partilhado de materiais educativos. Mas, apesar do enorme sucesso na disseminação e democratização do conhecimento proporcionado pelo movimento de acesso livre, este possui severas desvantagens financeiras e configura um grande passo atrás na inovação pedagógica devido a sua falha no devido aproveitamento das tecnologias colaborativas da Web 2.0. A fim de encontrar um modelo que melhor se adeque às necessidades de ensino e aprendizagem colaborativa numa economia da informação em rede, duas abordagens são seguidas nesta tese. A primeira consiste na análise e comparação do ecossistema educação aberta. Na outra abordagem, com base nos resultados anteriores, propomos um modelo para um MOOC, Metaversia, para uma rede de colaboração que aproveita o potencial de troca de capital, e de construção de conhecimento que existe no relacionamento interpessoal, permitindo uma plena participação dos cidadãos numa economia da informação em rede