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Whether through government propaganda or popular transnational satellite television channels, Arab citizens encounter a discourse that reinforces a sense of belonging to their own state and a broader Arab world on a daily basis. Looking through the lens of nationalism theory, this book examines how and why Arab identity continues to be reproduced in today’s Middle East, and how that Arab identity interacts with strengthening ties to religion and the state.
Drawing on case studies of two ideologically different Arab regimes, Syria and Jordan, Christopher Phillips explores both the implications this everyday Arab identity will have on western policy towards the Middle East and its real life impact on international relations.
Offering an original perspective on this topical issue, this book will be of interest to academics and practitioners working on the Arab world and political affairs, as well as students of International Relations, Political Science and the Middle East, notably Syria and Jordan, and policymakers in the region.
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Whether through government propaganda or popular transnational satellite television channels, Arab citizens encounter a discourse that reinforces a sense of belonging to their own state and a broader Arab world on a daily basis. Looking through the lens of nationalism theory, this book examines how and why Arab identity continues to be reproduced in today’s Middle East, and how that Arab identity interacts with strengthening ties to religion and the state.
Drawing on case studies of two ideologically different Arab regimes, Syria and Jordan, Christopher Phillips explores both the implications this everyday Arab identity will have on western policy towards the Middle East and its real life impact on international relations.
Offering an original perspective on this topical issue, this book will be of interest to academics and practitioners working on the Arab world and political affairs, as well as students of International Relations, Political Science and the Middle East, notably Syria and Jordan, and policymakers in the region.
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Although you don’t need a large computing infrastructure to process massive amounts of data with Apache Hadoop, it can still be difficult to get started. This practical guide shows you how to quickly launch data analysis projects in the cloud by using Amazon Elastic MapReduce (EMR), the hosted Hadoop framework in Amazon Web Services (AWS).
Authors Kevin Schmidt and Christopher Phillips demonstrate best practices for using EMR and various AWS and Apache technologies by walking you through the construction of a sample MapReduce log analysis application. Using code samples and example configurations, you’ll learn how to assemble the building blocks necessary to solve your biggest data analysis problems.
Get an overview of the AWS and Apache software tools used in large-scale data analysisGo through the process of executing a Job Flow with a simple log analyzerDiscover useful MapReduce patterns for filtering and analyzing data setsUse Apache Hive and Pig instead of Java to build a MapReduce Job FlowLearn the basics for using Amazon EMR to run machine learning algorithmsDevelop a project cost model for using Amazon EMR and other AWS tools328 kr
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Although you don’t need a large computing infrastructure to process massive amounts of data with Apache Hadoop, it can still be difficult to get started. This practical guide shows you how to quickly launch data analysis projects in the cloud by using Amazon Elastic MapReduce (EMR), the hosted Hadoop framework in Amazon Web Services (AWS).
Authors Kevin Schmidt and Christopher Phillips demonstrate best practices for using EMR and various AWS and Apache technologies by walking you through the construction of a sample MapReduce log analysis application. Using code samples and example configurations, you’ll learn how to assemble the building blocks necessary to solve your biggest data analysis problems.
Get an overview of the AWS and Apache software tools used in large-scale data analysisGo through the process of executing a Job Flow with a simple log analyzerDiscover useful MapReduce patterns for filtering and analyzing data setsUse Apache Hive and Pig instead of Java to build a MapReduce Job FlowLearn the basics for using Amazon EMR to run machine learning algorithmsDevelop a project cost model for using Amazon EMR and other AWS tools236 kr
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