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Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3 Key Features Learn Hadoop 3 to build;
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Big Data Analytics with R and Hadoop is a tutorial style book that focuses on all the powerful big data tasks that can be achieved by;
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A handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop;
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structure prediction using predictive modeling. Case studies demonstrate big data applications in healthcare using the MapReduce and Hadoop;
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Visualize and analyze your Hadoop data using Hunk About This Book * Explore your data in Hadoop and NoSQL data stores * Create and;
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Get a jump start on using Azure HDInsight and Hadoop Ecosystem components. As most Hadoop and Big Data projects are written in either Java;
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Let Hadoop For Dummies help harness the power of your data and rein in the information overload Big data has become big business, and;
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Get command of your organizational Big Data using the power of data science and analytics Key Features A perfect companion to boost your;
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efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and;
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Learn the basics of analytics on big data using Java, machine learning and other big data tools About This Book * Acquire real-world;
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of big data analytical systems using Hadoop, the Hadoop ecosystem, and other associated technologies.;
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libraries such as Mahout * Batch and Stream data processing using Apache Spark In Detail Big data is the current requirement. Most;
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of Big Data processing using R programming language and its powerful statistical capabilities * Deploy Big Data analytics platforms with;
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This book will be a step-by-step tutorial, which practically teaches working with big data on SQL Server through sample examples;
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and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data;
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analysis with SAS Who This Book Is For SAS professionals and data analysts who wish to perform analytics on Big Data using SAS to gain;
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This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term Big Data;
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the process.This book covers: Factors to consider when using Hadoop to store and model data Best practices for moving data in and out of the;
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capabilities of Hadoop 3 Crunch and process data using MapReduce, YARN, and a host of tools within the Hadoop ecosystem Sharpen your Hadoop skills with;
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of information Hadoop stores and how to access that data. You will learn to identify Big Data evidence using techniques to survey a live system and;
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The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main;
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Moving beyond MapReduce - learn resource management and big data processing using YARN About This Book * Deep dive into YARN;
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. The data is becoming too big to manage and use with traditional tools. The solution: implementing a big data system. As Big Data Made Easy;
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