{"product_id":"9781617292224","title":"Hadoop in Practice","description":"\u003cp\u003e\u003cb\u003eSummary\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eHadoop in Practice, Second Edition\u003c\/i\u003e 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. You'll 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.\u003c\/p\u003e\u003cp\u003ePurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout the Book\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eIt's always a good time to upgrade your Hadoop skills! \u003ci\u003eHadoop in Practice, Second Edition\u003c\/i\u003e 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. You'll 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.\u003c\/p\u003e\u003cp\u003eReaders need to know a programming language like Java and have basic familiarity with Hadoop.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat's Inside\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eThoroughly updated for Hadoop 2\u003c\/li\u003e\n\u003cli\u003eHow to write YARN applications\u003c\/li\u003e\n\u003cli\u003eIntegrate real-time technologies like Storm, Impala, and Spark\u003c\/li\u003e\n\u003cli\u003ePredictive analytics using Mahout and RR \u003c\/li\u003e\n\u003cli\u003eReaders need to know a programming language like Java and have basic familiarity with Hadoop. \u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAlex Holmes\u003c\/b\u003e works on tough big-data problems. He is a software engineer, author, speaker, and blogger specializing in large-scale Hadoop projects.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003col\u003e\n\u003ch5\u003ePART 1 BACKGROUND AND FUNDAMENTALS\u003c\/h5\u003e\n\u003cli\u003eHadoop in a heartbeat\u003c\/li\u003e\n\u003cli\u003eIntroduction to YARN\u003c\/li\u003e\n\u003ch5\u003ePART 2 DATA LOGISTICS\u003c\/h5\u003e\n\u003cli\u003eData serialization—working with text and beyond\u003c\/li\u003e\n\u003cli\u003eOrganizing and optimizing data in HDFS\u003c\/li\u003e\n\u003cli\u003eMoving data into and out of Hadoop\u003c\/li\u003e\n\u003ch5\u003ePART 3 BIG DATA PATTERNS\u003c\/h5\u003e\n\u003cli\u003eApplying MapReduce patterns to big data\u003c\/li\u003e\n\u003cli\u003eUtilizing data structures and algorithms at scale\u003c\/li\u003e\n\u003cli\u003eTuning, debugging, and testing\u003c\/li\u003e\n\u003ch5\u003ePART 4 BEYOND MAPREDUCE\u003c\/h5\u003e\n\u003cli\u003eSQL on Hadoop\u003c\/li\u003e\n\u003cli\u003e Writing a YARN application\u003c\/li\u003e\n\u003c\/ol\u003e","brand":"Manning Publications Company","offers":[{"title":"Default Title","offer_id":47056518971632,"sku":"9781617292224","price":49.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781617292224_p0.jpg?v=1763851206","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781617292224","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}