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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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effective big data analytics solutions on-premise and on cloud Integrate Hadoop with other big data tools such as R, Python, Apache Spark, and;
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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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Big Data storing, processing, analyzing skills to help you take informed business decisions Work with the best tools such as Apache Hadoop, R;
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you have basic programming background in Scala, Python, SQL, or R programming with basic Linux experience. Working experience within big data;
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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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Data with Azure HDInsight covers the fundamentals of big data, how businesses are using it to their advantage, and how Azure HDInsight fits;
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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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exploring, analysing, and visualizing big data in Hadoop and NoSQL data stores with this powerful full-featured big data analytics platform. You;
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in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and;
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, you'll find yourself growing more comfortable with Hadoop and at home in the world of big data.About the TechnologyHadoop;
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Leverage the capabilities of SAS to process and analyze Big Data About This Book * Combine SAS with platforms such as Hadoop, SAP;
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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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of analysis. It then examines the different machine learning techniques that are useful for data analytics, and how to visualize data with different;
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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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hybrid approach will be prominent in the examples. What You'll Learn Build big data analytic systems with the Hadoop ecosystem Use;
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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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applications, internet usage is on the rise. With so many users and such a large amount of data, the requirements of analyzing large data sets leads to;
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Book Is For Readers who have a basic knowledge of big data systems and want to advance their knowledge with hands-on recipes. What You;
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imposed by dealing with the high throughput of Big data. Scalable Big Data Architecture is for developers, data architects, and data;
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Hadoop and also some experience with programming languages such as R. This book will be great for those who are familiar with conventional data;
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phases. This book will also help big data engineers explore YARN integration with real-time analytics technologies such as Spark and Storm;
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Standard tutorial-based approach. Getting Started with Greenplum for Big Data Analytics is great for data scientists and data analysts with;
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Use R for efficient data mining, text analytics and feature engineering Become a thorough data science professional with the help of hands-on;
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