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Working with Big Data: How to Set up a Basic Hadoop Installation

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Big Data refers to the collection of data sets so large and complex that it becomes difficult to process using typical database management tools or traditional data processing applications. Some of the challenges associated with big data include capture, curation, storage, search, sharing, transfer, analysis, visualization. In this video, Paul Dix provides an overview of Hadoop, a framework of tools, libraries, and methodologies for big data analysis, and shows how to set up a basic Hadoop installation. This video is an excerpt from Working with Big Data: Infrastructure, Algorithms, and Visualizations LiveLessons, which is a six hour video course which delivers a high-level overview of big data and how to use key tools to solve your data challenges. The course provides an introduction to the three areas big data encompasses: infrastructure - how to store and process big data, algorithms - how to integrate algorithms into your big data stack and an introduction to classification, and visualizations - an introduction to creating visualizations in JavaScript using D3.js.
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