• Applied Multivariate Statistics for the Social Sciences, Sixth Edition. Keenan A. Pituch, James P. Stevens

     

    Applied Multivariate Statistics for the Social Sciences, Sixth Edition

     


    Applied-Multivariate.pdf
    ISBN: 9780415836661 | 880 pages | 22 Mb
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    • Applied Multivariate Statistics for the Social Sciences, Sixth Edition
    • Keenan A. Pituch, James P. Stevens
    • Page: 880
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    • ISBN: 9780415836661
    • Publisher: Taylor & Francis

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  • La estupenda guia para vivir la vida a tu manera. Pepe & Teo

     

    La estupenda guia para vivir la vida a tu manera

     


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    • La estupenda guia para vivir la vida a tu manera
    • Pepe & Teo
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  • Hap-Pea All Year by Keith Baker

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  • Astoria: John Jacob Astor and Thomas Jefferson's Lost Pacific Empire: A Story of Wealth, Ambition, and Survival by Peter Stark

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    • Astoria: John Jacob Astor and Thomas Jefferson's Lost Pacific Empire: A Story of Wealth, Ambition, and Survival
    • Peter Stark
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  • Elasticsearch Essentials. Bharvi Dixit

     

    Elasticsearch Essentials

     


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    ISBN: 9781784391010 | 165 pages | 5 Mb
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    • Elasticsearch Essentials
    • Bharvi Dixit
    • Page: 165
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    Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide About This Book New to ElasticSearch? Here's what you need—a highly practical guide that gives you a quick start with ElasticSearch using easy-to-follow examples; get up and running with ElasticSearch APIs in no time Get the latest guide on ElasticSearch 2.0.0, which contains concise and adequate information on handling all the issues a developer needs to know while handling data in bulk with search relevancy Learn to create large-scale ElasticSearch clusters using best practices Learn from our experts—written by Bharvi Dixit who has extensive experience in working with search servers (especially ElasticSearch) Who This Book Is For This book is for skilled developers, especially ones experienced with Lucene or Solr, who now want to learn Elasticsearch quickly. Anyone who wants to build efficient search and analytics applications can choose this book. Basic knowledge of Python and Linux is expected. What You Will Learn Get to know about advanced ElasticSearch concepts and its REST APIs Set up ElasticSearch clusters with best practices Design a schema and mappings with built-in and custom analyzers Dig into wide range of queries and find out how to use them correctly Excel in data modeling concepts and query optimization Write CRUD operations and other search functionalities using the ElasticSearch Python client Master document relationships and geo-spatial data Build analytics using aggregations In Detail With constantly evolving and growing datasets, organizations have the need to find actionable insights for their business. ElasticSearch, which is the world's most advanced search and analytics engine, brings the ability to make massive amounts of data usable in a matter of milliseconds. It not only gives you the power to build blazing fast search solutions over a massive amount of data, but can also serve as a NoSQL data store. This guide will take you on a tour to become a competent developer quickly with a solid knowledge level and understanding of the ElasticSearch core concepts. Starting from the beginning, this book will cover these core concepts, setting up ElasticSearch and various plugins, working with analyzers, and creating mappings. This book provides complete coverage of working with ElasticSearch using Python and performing CRUD operations and aggregation-based analytics, handling document relationships in the NoSQL world, working with geospatial data, and taking data backups. Finally, we'll show you how to set up and scale ElasticSearch clusters in production environments as well as providing some best practices.

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