Bigdata, Hadoop, Linux e-book October 8, 2015 Hadoop Real-World Solutions Cookbook About This Book Solutions to common problems when working in the Hadoop environment Recipes for (un)loading data, analytics, and troubleshooting In depth code examples demonstrating various analytic models, analytic solutions, and common best practices Who This Book Is For This book is ideal for developers who wish to have a better understanding of Hadoop application development and associated tools, and developers who understand Hadoop conceptually but want practical examples of real world applications. What You Will Learn Data ETL, compression, serialization, and import/export Simple and advanced aggregate analysis Graph analysis Machine learning Troubleshooting and debugging Scalable persistence Cluster administration and configuration In Detail Helping developers become more comfortable and proficient with solving problems in the Hadoop space. People will become more familiar with a wide variety of Hadoop related tools and best practices for implementation. Hadoop Real-World Solutions Cookbook will teach readers how to build solutions using tools such as Apache Hive, Pig, MapReduce, Mahout, Giraph, HDFS, Accumulo, Redis, and Ganglia. Hadoop Real-World Solutions Cookbook provides in depth explanations and code examples. Each chapter contains a set of recipes that pose, then solve, technical challenges, and can be completed in any order. A recipe breaks a single problem down into discrete steps that are easy to follow. The book covers (un)loading to and from HDFS, graph analytics with Giraph, batch data analysis using Hive, Pig, and MapReduce, machine learning approaches with Mahout, debugging and troubleshooting MapReduce, and columnar storage and retrieval of structured data using Apache Accumulo. Hadoop Real-World Solutions Cookbook will give readers the examples they need to apply Hadoop technology to their own problems. Table of Contents 1: Hadoop Distributed File System – Importing and Exporting Data 2: HDFS 3: Extracting and Transforming Data 4: Performing Common Tasks Using Hive, Pig, and MapReduce 5: Advanced Joins 6: Big Data Analysis 7: Advanced Big Data Analysis 8: Debugging 9: System Administration 10: Persistence Using Apache Accumul Do you want all books one link; 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..: Accumuloanalytic solutionsApache HiveBig Data AnalysiscompressionData ETLGangliaGiraphGraph analysishadoophadoop bookhadoop clusterhadoop environmenthadoop installationhadoop pdfhadoop problemshdfsMahoutmapreducePigRedisserializationubuntu hadoopusing hadoop Share on: Facebook Twitter Pinterest Google + Look2linux Look2linux.com Website Facebook Previous articleUsing Samba: A File and Print Server for Linux, Unix & Mac OS X, 3rd Edition Next articleMastering OpenStack You may also like May 30, 2016 Hadoop for Dummies April 1, 2015 Big Data Now: 2013 Edition March 30, 2015 Hadoop in Practice March 28, 2015 Hadoop The Definite Guide Be first to comment Click here to cancel reply. Cancel replyComment Name * Email * Website This site uses Akismet to reduce spam. Learn how your comment data is processed.