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Apache Hadoop 2.0: Operations Management with the Hortonworks Data Platform

This four-day Apache Hadoop 2.0 training course is designed for administrators who deploy and manage Apache Hadoop 2.0 clusters. Through a combination of lecture and hands-on exercises you will learn how to install, configure, maintain and scale your Hadoop 2.0 environment. At the end of this course you will have a solid understanding of how Hadoop works with Big Data and through the hands-on exercises will have completed the Hadoop deployment lifecycle for a multi-node cluster.


Developing Solutions on Apache Hadoop on Windows

In this 4-day class, students will learn to develop applications and analyze big data stored in Apache Hadoop running on Microsoft Windows. Students will learn the details of the Hadoop Distributed File System (HDFS ™) architecture and MapReduce framework, as well as learn how to develop applications on Hadoop® using tools like C#, Pig ™, Hive™, HCatalog, Sqoop, Oozie and Microsoft Excel.


Developing Custom YARN Applications

This 2-day hands-on training course teaches students how to develop custom YARN applications for the Hortonworks Data Platform. Students will learn the lifecycle of a YARN application and how to write a YARN client and application master using the Java programming language.


Apache Hadoop Essentials 2.0: Hadoop Essentials with the Hortonworks Data Platform

This one-day course provides a technical overview of Apache Hadoop for decision makers and business users. Students will obtain a deeper understanding of what is Big Data, Hadoop 2.0, the architecture and various technologies in the Hadoop ecosystem, and the business value that Hadoop provides.


Apache Hadoop 2.0: Data Analysis with the Hortonworks Data Platform using Pig and Hive

This 4-day hands-on training course teaches students how to develop applications and analyze Big Data stored in Apache™ Hadoop© 2.0 using Apache Pig™ and Apache Hive™. Students will learn the details of Hadoop 2.0, YARN, the Hadoop Distributed File System (HDFS™), an overview of MapReduce, and a deep dive into using Pig and Hive to perform data analytics on Big Data, including finding trends and detecting patterns


Apache Hadoop 2.0: Developing Applications with the Hortonworks Data Platform using Java

This 4 days hands-on training course takes a deep-dive into developing Java MapReduce applications for Big Data deployed on the Hadoop Distributed File System (HDFS). Students who attend this course will learn how to harness the power of Apache Hadoop and MapReduce to manipulate, analyze and perform computations on their Big Data.