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Learn Big Data Hadoop from certified experts in Hyderabad on lowest price with 100% money back guarantee and get more attractive discounts and reward.

NetMiner is an innovative software tool for Exploratory Analysis and Visualization of Network Data. NetMiner allows you to explore your network Data visually and interactively, and helps you to detect underlying patterns and structures of the network

You know your data is big - you found Hadoop. What implications must you consider when working at this scale? This lecture addresses common challenges and general best practices for scaling with your data.

Several weeks ago, I posted a question on Quora asking for the best data blogs. There have been 26 replies with dozens of blogs recommended.

SDArch - Semantic Document Architecture is our atempt to bring the vision of the Semantic Web to desktop office-like documents. SDArch aims at enabling desktop document data to be efficiently discovered, linked and shared across application, enterprise and community boundaries. It introduces 'semantic documents' as completely open and queryable resources, containing data which is uniquely identified, semantically annotated and understandable by both humans and software agents.

"IN-SPIRE™ -- an information visualization software application -- provides a wealth of tools for exploring textual information, including query, subset, and trend analysis tools. Through visual representations of information, users can rapidly discover hidden information relationships from a variety of data sources such as technical and patent literature, marketing and business documents, web data, accident and safety reports, newswire feeds and e-mail message traffic."

Papamitsiou, Z., & Economides, A. (2014). Learning Analytics and Educational Data Mining in Practice: A Systematic Literature Review of Empirical Evidence. Educational Technology & Society, 17 (4), 49-64. This paper aims to provide the reader with a comprehensive background for understanding current knowledge on Learning Analytics (LA) and Educational Data Mining (EDM) and its impact on adaptive learning. It constitutes an overview of empirical evidence behind key objectives of the potential adoption of LA/EDM in generic educational strategic planning. We examined the literature on experimental case studies conducted in the domain during the past six years (2008-2013). Search terms identified 209 mature pieces of research work, but inclusion criteria limited the key studies to 40. We analyzed the research questions, methodology and findings of these published papers and categorized them accordingly. We used non-statistical methods to evaluate and interpret findings of the collected studies. The results have highlighted four distinct major directions of the LA/EDM empirical research. We discuss on the emerged added value of LA/EDM research and highlight the significance of further implications. Finally, we set our thoughts on possible uncharted key questions to investigate both from pedagogical and technical considerations.

How Billions of Trivial Data Points can Lead to Understanding

Life insurers are testing an intensely personal new use for the vast dossiers of data being amassed about Americans: predicting people's longevity.

An entity graph of people, places and things, built by a community that loves open data.

data was hard to come by in some districts, it was untrustworthy in others and controlling for all relevant variables when comparing school districts is really, really difficult.

A way of using massive amounts of data for medicine and forensics (16 minute video)

20 years ago, Tim Berners-Lee invented the World Wide Web. For his next project, he's building a web for open, linked data that could do for numbers what the Web did for words, pictures, video: unlock our data and reframe the way we use it together.

DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia, and to link other data sets on the Web to Wikipedia data.