Big Data PhD Topics - Hadoop solutions.

Ph.D Research Proposal for Big Data Big data refer to technologies and initiatives that tackle diverse, massive data to address the traditional technologies, skills, and infrastructure efficiently. The volume, velocity, and variety of data are greatly high.

Big Data grasped a lot of attention from market trends, equipment based performance, and other industry elements. Big data, analytical tools and technologies greatly assist in IT decision making. Even the large organizations find it difficult to deal with the larger datasets in terms of manipulating and managing the Big Data.

This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens, unknown correlation, and other useful information for diagnosis and prognosis solutions which leads to enhance reliability, maintainability and readiness of the selected system.

Table 1 presents the cross-domain topics for Big Data and Marketing, in a total of eighteen. The results show an increasing interest in Big Data applied to Marketing. For each topic there is always a dominant term, with a value that matches it closer to a certain Marketing question or to a type of Big Data technique, tool or context.

I'm going to start a Computer Science phd this year and for that I need a research topic. I am interested in Predictive Analytics in the context of Big Data. I am interested by the area of Education.

PhD Students in the areas of Big Data Management and Analysis Architectures and Data Science Engineering Technologies. and could possibly also become a post-doc rather than a PhD student position. Research topics for the candidates include the development of (technologies and components for) an integrated data integration, data management.

Welcome to the SAGE Research Methods Hot Topics page, tied in this edition to the theme of big data analysis. Use the links below to gain access to examples of our various content types. Past editions can be found at the Hot Topics archive page.

The Big Data Science and Engineering (BDSE) program is a PhD fellowship program that allows selected students to pursue research in the area of big data science and engineering. This new fellowship program was created to train more computer scientists in data science application fields such as health informatics, geosciences, precision and personalized medicine, business analytics, and smart.

Research topics At Leeds University Business School we have identified a number of topics, across our six divisions that we would particularly welcome applications for PhD study. Research areas do not have specific funding attached to them, although the areas can be incorporated into a scholarship application.

Our data will not only yield more nuanced findings about current, active research aspects of educational disadvantage and place (e.g., the influence of neighbourhood deprivation on educational attainment), but will also enable us to carry out analyses that can only be effectively achieved with our big datasets (e.g., exploring causality and.

We will be conducting regular analyses of data flows to monitor a range of activities in cities. The Centre’s existing data collection enables this work to begin immediately but we will also be exploring rapid acquisition of new data to meet known gaps. Results of this work will be posted here, along with signposts to the work produced by others.

The purpose of this partnership is to pursue research and development of new Big Data analytics technologies that are needed to support critical and necessary law enforcement services for the people of Norway. HANSKEN is a state of the art Big Data analysis platform developed by the Netherlands Forensic Institute (NFI).