{"product_id":"hadoop-in-practice-includes-104-techniques-9781617292224","title":"Hadoop in Practice: Includes 104 Techniques","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cstrong\u003eHadoop in Practice: Includes 104 Techniques\u003c\/strong\u003e by Holmes, Alex. paperback edition. ISBN: 9781617292224.\u003c\/p\u003e\n\u003cp\u003eSummary\n\nHadoop in Practice, Second Edition provides over 100 tested, instantly useful techniques that will help you conquer big data, using Hadoop. This revised new edition covers changes and new features in the Hadoop core architecture, including MapReduce 2. Brand new chapters cover YARN and integrating Kafka, Impala, and Spark SQL with Hadoop. Youll also get new and updated techniques for Flume, Sqoop, and Mahout, all of which have seen major new versions recently. In short, this is the most practical, up-to-date coverage of Hadoop available anywhere.\n\nAbout the Book\n\nIts always a good time to upgrade your Hadoop skills! Hadoop in Practice, Second Edition provides a collection of 104 tested, instantly useful techniques for analyzing real-time streams, moving data securely, machine learning, managing large-scale clusters, and taming big data using Hadoop. This completely revised edition covers changes and new features in Hadoop core, including MapReduce 2 and YARN. Youll pick up hands-on best practices for integrating Spark, Kafka, and Impala with Hadoop, and get new and updated techniques for the latest versions of Flume, Sqoop, and Mahout. In short, this is the most practical, up-to-date coverage of Hadoop available.\n\nReaders need to know a programming language like Java and have basic familiarity with Hadoop.\n\nWhats Inside\nThoroughly updated for Hadoop 2 How to write YARN applications Integrate real-time technologies like Storm, Impala, and Spark Predictive analytics using Mahout and RR Readers need to know a programming language like Java and have basic familiarity with Hadoop.\nAbout the Author\n\nAlex Holmes works on tough big-data problems. He is a software engineer, author, speaker, and blogger specializing in large-scale Hadoop projects.\n\nTable of Contents\nPART 1 BACKGROUND AND FUNDAMENTALS Hadoop in a heartbeat Introduction to YARN PART 2 DATA LOGISTICS Data serialization—working with text and beyond Organizing and optimizing data in HDFS Moving data into and out of Hadoop PART 3 BIG DATA PATTERNS Applying MapReduce patterns to big data Utilizing data structures and algorithms at scale Tuning, debugging, and testing PART 4 BEYOND MAPREDUCE SQL on Hadoop Writing a YARN application\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Manning","offers":[{"title":"Default Title","offer_id":45816068046901,"sku":"ByrdShop_1617292222","price":41.08,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0627\/8139\/0901\/files\/9781617292224_6ac1be6a-4659-464f-939e-80e72f3d6520_87e3220d-9ca8-40d0-aef3-40da4b8d5bcd_bccdda75-430b-4c5a-8e07-0a1f4b2ae3e2.jpg?v=1790353221","url":"https:\/\/atxbooks.com\/products\/hadoop-in-practice-includes-104-techniques-9781617292224","provider":"ATX Books","version":"1.0","type":"link"}