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, legal professional, or a student interested in Big Data and forensics, this book is the perfect hands-on guide for learning how to conduct;
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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 Mit Hadoop Und Hive is een boek van Jonas Kress;
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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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. * Solutions to common problems when working with the Hadoop ecosystem. * Step-by-step implementation of end-to-end big data use cases. Who This;
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cybercrime, with the main objective of describing a variety of digital crimes and retrieving potential digital evidence. Big Data Analytics and;
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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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addresses a specific task you'll face, like querying big data using Pig or writing a log file loader. You'll explore each problem step by step;
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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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must absorb rapid changes in big data ecosystems, frameworks, products, and workloads. Virtualized approaches can offer important advantages;
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Unleash the power of Apache Oozie to create and manage your big data and machine learning pipelines in one go About This Book;
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source * Integrate Hunk with AWS Elastic MapReduce to improve scalability In Detail Hunk is the big data analytics platform that lets you;
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machine learning using MLLib, ML Pipelines, H2O, Hivemall, Graphx, SparkR and Hivemall. In Detail Big Data Analytics book aims at providing;
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For developers working with big data, it's not enough to have a theoretical understanding of Hadoop. They need to solve real challenges;
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doing just that. Drawing on immense experience with Hadoop and big data, three leading experts bring together everything you need: high-level;
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Pro Apache Hadoop, Second Edition brings you up to speed on Hadoop - the framework of big data. Revised to cover Hadoop 2.0, the book;
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introduce you to the main technical topics, including MapReduce, YARN, and HDFS. The book begins with an overview of big data and Apache Hadoop;
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real-world case studies and code Book DescriptionApache Hadoop is one of the most popular big data solutions for distributed storage and for;
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Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning;
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. Crafting an enterprise-scale cost-efficient Big Data and machine learning solution to uncover insights and value from your organization's data is a;
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The professional's one-stop guide to this open-source, Java-based big data framework Professional Hadoop is the complete reference and;
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This book is aimed at developers and system administrators who want to learn about Big Data analysis using Amazon Elastic MapReduce. Basic;
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