{"product_id":"data-analytics-with-hadoop-an-introduction-for-data-scientists-paperback","title":"Data Analytics with Hadoop: An Introduction for Data Scientists - 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\u003eBenjamin Bengfort\u003c\/b\u003e (Author), \u003cb\u003eJenny Kim\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eReady to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, youâ ll focus on particular analyses you can build, the data warehousing techniques that Hadoop provides, and higher order data workflows this framework can produce. \u003c\/p\u003e\u003cp\u003e Data scientists and analysts will learn how to perform a wide range of techniques, from writing MapReduce and Spark applications with Python to using advanced modeling and data management with Spark MLlib, Hive, and HBase. Youâ ll also learn about the analytical processes and data systems available to build and empower data products that can handleâ and actually requireâ huge amounts of data. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eUnderstand core concepts behind Hadoop and cluster computing \u003c\/li\u003e\n\u003cli\u003eUse design patterns and parallel analytical algorithms to create distributed data analysis jobs \u003c\/li\u003e\n\u003cli\u003eLearn about data management, mining, and warehousing in a distributed context using Apache Hive and HBase \u003c\/li\u003e\n\u003cli\u003eUse Sqoop and Apache Flume to ingest data from relational databases \u003c\/li\u003e\n\u003cli\u003eProgram complex Hadoop and Spark applications with Apache Pig and Spark DataFrames \u003c\/li\u003e\n\u003cli\u003ePerform machine learning techniques such as classification, clustering, and collaborative filtering with Sparkâ s MLlib \u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBenjamin Bengfort is a Data Scientist who lives inside the beltway but ignores politics (the normal business of DC) favoring technology instead. He is currently working to finish his PhD at the University of Maryland where he studies machine learning and distributed computing. His lab does have robots (though this field of study is not one he favors) and, much to his chagrin, they seem to constantly arm said robots with knives and tools; presumably to pursue culinary accolades. Having seen a robot attempt to slice a tomato, Benjamin prefers his own adventures in the kitchen where he specializes in fusion French and Guyanese cuisine as well as BBQ of all types. A professional programmer by trade, a Data Scientist by vocation, Benjamin's writing pursues a diverse range of subjects from Natural Language Processing, to Data Science with Python to analytics with Hadoop and Spark.\u003c\/p\u003e\u003cp\u003eJenny Kim is an experienced big data engineer who works in both commercial software efforts as well as in academia. She has significant experience in working with large scale data, machine learning, and Hadoop implementations in production and research environments. Jenny (with Benjamin Bengfort) previously built a large scale recommender system that used a web crawler to gather ontological information about apparel products and produce recommendations from transactions. Currently, she is working with the Hue team at Cloudera, to help build intuitive interfaces for analyzing big data with Hadoop.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 286\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.5 x 9.1 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 12, 2016\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":44838899023974,"sku":"9781491913703","price":43.39,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0599\/7255\/0758\/files\/WFRFSGN2VDgvZDF2RXpFNkZBdm5xdz09.webp?v=1772484615","url":"https:\/\/infinitylightwa.com\/products\/data-analytics-with-hadoop-an-introduction-for-data-scientists-paperback","provider":"Infinity Light","version":"1.0","type":"link"}