{"product_id":"pro-hadoop-data-analytics-designing-and-building-big-data-systems-using-the-hadoop-ecosystem-paperback","title":"Pro Hadoop Data Analytics: Designing and Building Big Data Systems Using the Hadoop Ecosystem - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eKerry Koitzsch\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eLearn advanced analytical techniques and leverage existing tool kits to make your analytic applications more powerful, precise, and efficient. This book provides the right combination of architecture, design, and implementation information to create analytical systems that go beyond the basics of classification, clustering, and recommendation.\u003c\/p\u003e\u003cp\u003e\u003cem\u003ePro Hadoop Data Analytics\u003c\/em\u003e emphasizes best practices to ensure coherent, efficient development. A complete example system will be developed using standard third-party components that consist of the tool kits, libraries, visualization and reporting code, as well as support glue to provide a working and extensible end-to-end system.\u003c\/p\u003e\u003cp\u003eThe book also highlights the importance of end-to-end, flexible, configurable, high-performance data pipeline systems with analytical components as well as appropriate visualization results. You'll discover the importance of mix-and-match or hybrid systems, using different analytical components in one application. This hybrid approach will be prominent in the examples.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You'll Learn \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eBuild big data analytic systems with the Hadoop ecosystem\u003c\/li\u003e\n\u003cli\u003eUse libraries, tool kits, and algorithms to make development easier and more effective\u003c\/li\u003e\n\u003cli\u003eApply metrics to measure performance and efficiency of components and systems\u003c\/li\u003e\n\u003cli\u003eConnect to standard relational databases, noSQL data sources, and more\u003c\/li\u003e\n\u003cli\u003eFollow case studies with example components to create your own systems\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cbr\u003eSoftware engineers, architects, and data scientists with an interest in the design and implementation of big data analytical systems using Hadoop, the Hadoop ecosystem, and other associated technologies.\u003cbr\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eLearn advanced analytical techniques and leverage existing toolkits to make your analytic applications more powerful, precise, and efficient. This book provides the right combination of architecture, design, and implementation information to create analytical systems which go beyond the basics of classification, clustering, and recommendation.\u003c\/p\u003e\u003cp\u003eIn \u003cem\u003ePro Hadoop Data Analytics\u003c\/em\u003e best practices are emphasized to ensure coherent, efficient development. A complete example system will be developed using standard third-party components which will consist of the toolkits, libraries, visualization and reporting code, as well as support glue to provide a working and extensible end-to-end system.\u003c\/p\u003eThe book emphasizes four important topics: \u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eThe importance of end-to-end, flexible, configurable, high-performance data pipeline systems with analytical components as well as appropriate visualization results. Deep-dive topics will include Spark, H20, Vopal Wabbit (NLP), Stanford NLP, and other appropriate toolkits and plugins.\u003c\/li\u003eBest practices and structured design principles. This will include strategic topics as well as the how to example portions.\u003cli\u003eThe importance of mix-and-match or hybrid systems, using different analytical components in one application to accomplish application goals. The hybrid approach will be prominent in the examples.\u003c\/li\u003e\n\u003cli\u003eUse of existing third-party libraries is key to effective development. Deep dive examples of the functionality of some of these toolkits will be showcased as you develop the example system.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cul\u003e \u003c\/ul\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eKerry Koitzsch is a software engineer and interested in the early history of science, particularly chemistry. He frequently publishes papers and attends conferences on scientific and historical topics, including early chemistry and alchemy, and sociology of science. He has presented many lectures, talks, and demonstrations on a variety of subjects for the United States Army, the Society for Utopian Studies, American Association for Artificial Intelligence (AAAI), Association for Studies in Esotericism (ASE), and others. He has also published several papers and written two historical books.\u003cbr\u003eKerry was educated at Interlochen Arts Academy, MIT, and the San Francisco Conservatory of Music. He served in the United States Army and United States Army Reserve, and is the recipient of the United States Army Achievement Medal. He has been a software engineer specializing in computer vision, machine learning, and database technologies for 30 years, and currently lives and works in Sunnyvale, California.\u003cbr\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 298\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.68 x 10 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 29, 2016\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47212674187513,"sku":"9781484219096","price":68.02,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/WVA4WTlPR3lURVd5SzVjZGV2YktjUT09.webp?v=1768094972","url":"https:\/\/bookscloud.io\/products\/pro-hadoop-data-analytics-designing-and-building-big-data-systems-using-the-hadoop-ecosystem-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}