Hadoop MapReduce Cookbook by Srinath Perera, Thilina Gunarathne PDF

By Srinath Perera, Thilina Gunarathne

ISBN-10: 1849517282

ISBN-13: 9781849517287

Recipes for reading huge and intricate datasets with Hadoop MapReduce

Overview
* learn how to strategy huge and complicated information units, beginning easily, then diving in deep
* clear up advanced significant info difficulties corresponding to classifications, discovering relationships, affiliate marketing and recommendations.
* greater than 50 Hadoop MapReduce recipes, awarded in an easy and simple demeanour, with step by step directions and actual global examples.

In Detail

We are dealing with an avalanche of information. The unstructured info we assemble can include many insights that would carry the main to enterprise good fortune or failure. Harnessing the facility to research and approach this information with Hadoop MapReduce is likely one of the so much hugely wanted talents in today's activity market.

"Hadoop MapReduce Cookbook" is a one-stop consultant to processing huge and intricate facts units utilizing the Hadoop atmosphere. The e-book introduces you to easy examples after which dives deep to resolve in-depth massive information use cases.

"Hadoop MapReduce Cookbook" offers greater than 50 ready-to-use Hadoop MapReduce recipes in an easy and easy demeanour, with step by step directions and genuine international examples.

Start with how one can set up, then configure, expand, and administer Hadoop. Then write basic examples, examine MapReduce styles, harness the Hadoop panorama, and eventually leap to the cloud.

The publication bargains with many fascinating subject matters akin to establishing Hadoop safety, utilizing MapReduce to resolve analytics, classifications, online advertising and marketing, thoughts, and looking out use instances. you'll how you can harness elements from the Hadoop surroundings together with HBase, Hadoop, Pig, and Mahout, then the best way to arrange cloud environments to accomplish Hadoop MapReduce computations.

"Hadoop MapReduce Cookbook" teaches you the way method huge and complicated information units utilizing actual examples offering a complete advisor to get issues performed utilizing Hadoop MapReduce.

What you'll study from this book
* easy methods to set up Hadoop MapReduce and HDFS to start operating examples
* find out how to configure and administer Hadoop and HDFS securely
* realizing the internals of Hadoop and the way Hadoop may be prolonged to fit your needs
* how one can use HBase, Hive, Pig, Mahout, and Nutch to get issues performed simply and efficiently
* how one can use MapReduce to unravel many sorts of analytics problems
* clear up complicated difficulties similar to classifications, discovering relationships, affiliate internet marketing, and recommendations
* utilizing MapReduce for enormous textual content information processing
* the best way to use cloud environments to accomplish Hadoop computation

Approach

Individual self-contained code recipes. clear up particular difficulties utilizing person recipes, or paintings during the publication to strengthen your features.

Who this e-book is written for

If you're a massive information fanatic and striving to exploit Hadoop to resolve your difficulties, this e-book is for you. geared toward Java programmers with a few wisdom of Hadoop MapReduce, this can be additionally a complete reference for builders and approach admins who are looking to wake up to hurry utilizing Hadoop.

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Extra info for Hadoop MapReduce Cookbook

Sample text

This allows any program or user to access and interact with HDFS similar to a traditional filesystem. Getting ready You must have the following software installed in your system. org/). ff Fuse and fuse development packages. Fuse development files can be found in fusedevel RPM for Redhat/Fedora and in libfuse-dev package for Debian/Ubuntu. JAVA_HOME must be set to point to a JDK, not to a JRE. You must have the root privileges for the node in which you are planning to mount the HDFS filesystem.

Access http://MASTER_NODE:50030/ using the browser where MASTER_NODE is the IP address of the master node. 2. The web page shows the current status of the MapReduce installation, including running and completed jobs. 26 Chapter 1 How it works... Hadoop monitoring UI lets users access the JobTracker of the Hadoop installation and find different nodes in the installation, their configurations, and usage. For example, users can use the UI to see current running jobs and logs associated with the jobs.

Oport should provide the NameNode port number. sh rw -oserver=localhost -oport=9000 -d /u/hdfs/ 47 Advanced HDFS How it works... Fuse-DFS is based on the filesystem in user space. The FUSE project (http://fuse. net/) makes it possible to implement filesystems in the user space. Fuse-DFS interacts with HDFS filesystem using the libhdfs C API. libhdfs uses JNI to spawn a JVM that communicates with the configured HDFS NameNode. There's more... Many instances of HDFS can be mounted on to different directories using the Fuse-DFS as mentioned in the preceding sections.

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Hadoop MapReduce Cookbook by Srinath Perera, Thilina Gunarathne


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