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Getting Started Guide: Analyzing Big Data with AWS

Big data—data sets that are too large to store in a traditional relational database and that require distributed applications for processing—can be expensive and complicated to manage. Moving your data to the cloud can reduce storage and analysis costs and simplify administration. This guide explains how to use Amazon Simple Storage Service (S3) to store big data, Amazon Elastic Cloud Compute (EC2) instances (virtual servers) to process it, and Amazon Elastic MapReduce to manage the details

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– Analyzing Big Data to Assess Policy Change in the Airline Industry
from An “IT Minute” – The Office of Information Technology at UofSC
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Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: * Become a contributor on a data science team *

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Visual Intelligence: Microsoft Tools and Techniques for Visualizing Data

• Used Book in Good Condition

Go beyond design concepts and learn to build state-of-the-art visualizations The visualization experts at Microsoft’s Pragmatic Works have created a full-color, step-by-step guide to building specific types of visualizations. The book thoroughly covers the Microsoft toolset for data analysis and visualization, including Excel, and explores best practices for choosing a data visualization design, selecting tools from the Microsoft stack, and building a dynamic data visualization from start to fi

List Price: $ 49.99

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– Collecting & Analyzing Prevalence and Incidence Data
from Pressure Ulcers in an Era of Increased Accoutability: Meeting the Challenge – Oct 3 ’08
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