Hadoop bought capabilities to store massive amount of data in distributed environment and provide the way to process them effectively. It's a distributed data processing system which support distributed file systems and it offers a way to parallelize and execute programs on a cluster of machines. It could be installed on cluster with using large number of commodities hardware which intern optimized the overall solution costs. Apache Hadoop already adopted by technologies giant such as Yahoo, Facebook, Twitter, LinkedIn etc. to address their big data needs, and it's making inroads across all industrial sectors Hadoop Essence is the basic guide for developer, architect, engineer and anyone who want to start leveraging Hadoop to build a distributed, scalable concurrent application. This book is a concise guide on getting started with Hadoop and Hive. It provides overall understanding on Hadoop and how it works and same time provide the sample code to speed up development with very minimum effort. It will refer to easy-to-explain concept & examples, as they are likely to be the best teaching aids.

It will explain the logic, code, and configurations needed to build a successful, distributed, concurrent application, as well as the reason behind those decisions The book has been written considering for beginner and intermediate developer who want to get introduce in Hadoop. Table of Contents 1. Big Data 2. Hadoop 3. The Hadoop Distribution Filesystem(HDFS) 4. Getting Started with Hadoop 5. Interface to Access HDFS File System 6. MapReduce 7.

YARN 8. Hive 9. Getting Started with Hive.