Bigdata, Hadoop March 30, 2015 Hadoop in Practice Hadoop in Practice collects 85 Hadoop examples and presents them in a problem/solution format. Each technique addresses a specific task you’ll face, like querying big data using Pig or writing a log file loader. You’ll explore each problem step by step, learning both how to build and deploy that specific solution along with the thinking that went into its design. As you work through the tasks, you’ll find yourself growing more comfortable with Hadoop and at home in the world of big data. About the Technology Hadoop is an open source MapReduce platform designed to query and analyze data distributed across large clusters. Especially effective for big data systems, Hadoop powers mission-critical software at Apple, eBay, LinkedIn, Yahoo, and Facebook. It offers developers handy ways to store, manage, and analyze data. About the Book Hadoop in Practice collects 85 battle-tested examples and presents them in a problem/solution format. It balances conceptual foundations with practical recipes for key problem areas like data ingress and egress, serialization, and LZO compression. You’ll explore each technique step by step, learning how to build a specific solution along with the thinking that went into it. As a bonus, the book’s examples create a well-structured and understandable codebase you can tweak to meet your own needs. This book assumes the reader knows the basics of Hadoop. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What’s Inside Conceptual overview of Hadoop and MapReduce 85 practical, tested techniques Real problems, real solutions How to integrate MapReduce and R Table of Contents PART 1 BACKGROUND AND FUNDAMENTALS Hadoop in a heartbeat PART 2 DATA LOGISTICS Moving data in and out of Hadoop Data serialization?working with text and beyond PART 3 BIG DATA PATTERNS Applying MapReduce patterns to big data Streamlining HDFS for big data Diagnosing and tuning performance problems PART 4 DATA SCIENCE Utilizing data structures and algorithms Integrating R and Hadoop for statistics and more Predictive analytics with Mahout PART 5 TAMING THE ELEPHANT Hacking with Hive Programming pipelines with Pig Crunch and other technologies Testing and debugging Do you want ; All book in one file-Look2linux.comPrice - $50I am very rich, I will send you $ 100This is your lucky day $ 250 🙂Enter Your Name , company name or e-mail address , we will send you download link in 12 hours..: apache hadoopbig databigdatadebuggin hadoophackjng hivehadoophadoop exampleshadoop practicehdfshdfs exampleshivelearn hdfsmapreducetesting hadoop Share on: Facebook Twitter Pinterest Google + Look2linux Look2linux.com Website Facebook Previous articleHadoop The Definite Guide Next articleNetwork Forensics: Tracking Hackers through Cyberspace You may also like May 30, 2016 Hadoop for Dummies October 8, 2015 Hadoop Real-World Solutions Cookbook April 1, 2015 Big Data Now: 2013 Edition March 28, 2015 Hadoop The Definite Guide 1 Comment Reply June 26, 2015 Ubuntu 14.04 üzerine Hadoop 2.6.0 Kurulumu | Ayhan ARDA […] Hadoop in Practice […] Leave a Reply Click here to cancel reply. Cancel reply Comment Name * Email * Website This site uses Akismet to reduce spam. Learn how your comment data is processed.