Showing posts with label Hadoop. Show all posts
Showing posts with label Hadoop. Show all posts

Thursday, May 10, 2012

Pro Hadoop

 
But what exactly it is, and more importantly, how do you even get a Hadoop cluster up and running? From Apress, you name. Have come to trust to the hands. On the technical knowledge, Pro Hadoop takes you up to speed on Hadoop. You learn the ins and outs of MapReduce, how the cluster structure, design, and implement the Hadoop file system; And how to build the first cloud computing tasks using Hadoop. Learn how to let the Hadoop distribution and parallelizing care of your software you only. Focus on code, Hadoop care of the rest. will be Best of all, you learn from a professional technology that already? Hadoop in the scene since day one. Written from the perspective of a principal engineer with the falls? Trenches knowledge of what to do wrong with Hadoop?, You learn how to avoid, the first common mistake that people make costly by creating their own system Hadoop or inherit someone else' s. Skip the beginner stage repair errors and expensive, difficult? to ... go directly to the frame experienced the hottest pros on the cloud computing with Hadoop Pro?. Your productivity will blow your manager go. What you will learn? Set the stand? Hadoop cluster itself a clever way, laid out a simple and step by step so you can get up and running quickly to build the next data center, collaborative, data? Intensive Internet applications service, Software as a Service (SaaS), and more. Get a detailed explanation of not only how to do something with Hadoop, but also why, from the front line coder? With years in the game Hadoop. IT interested in investigating Hadoop and apply it in their organizations, and existing Hadoop users who want to deepen their professional toolkit professional. About the Apress Pro Series Books Apress Pro series of practical, professional tutorials to keep you on and moving up the professional ladder. You have to get a job, now you need to hone your skills in tough times competitive. 

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Hadoop : The Definitive Guide


Ideal for processing large datasets, framework Apache Hadoop is an open source implementation of MapReduce algorithm that Google built its empire. This suggests that a comprehensive resource on how to use Hadoop to build reliable, scalable, distributed systems: a programmer will find details for analyzing large datasets, and administrators will learn how to set up and run Hadoop clusters. Complete with case studies that illustrate how Hadoop to solve specific problems, this book helps you: Use the Hadoop Distributed File System (HDFS) to store large datasets, and run a distributed computation on the dataset using MapReduce Become familiar with Hadoop and data I / O building blocks for compression, data integrity, serialization, and persistence Discover common pitfalls and advanced features for write a MapReduce program real-world design, build, and manage a dedicated Hadoop cluster, or run Hadoop in a cloud Use the Pig, the demand for high-level language for large scale data processing advantage HBase, Hadoop database for structured and semi-structured data Learn ZooKeeper, primitive toolkit coordination to build a distributed system If you have a lot of data - whether it is gigabytes or petabytes - Hadoop is the perfect solution. 

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