Register for Hadoop Training
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.
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.
This 2-day hands-on class students is designed for Hadoop developers and administrators as well as individuals looking to migrate an application to Hbase. Students will learn how to develop applications using Apache Hbase. Students will learn what it takes to develop a high performance, scalable solution using Hbase to provide low latency random access to data stored in Hbase tables.
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.
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
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.
This three-day Apache Hadoop training course is designed for administrators who deploy and manage Apache Hadoop clusters. This course will walk you through installation, provisioning and ongoing resource management within a Hadoop cluster. You will leave with a valuable set of best practices that have been developed over years of working with Hadoop in production so that you can optimize your Hadoop clusters.
“Applying Data Science using Hadoop” covers Data Science principles and techniques through lecture and hands-on experience. During this two-day class, students will experience a hands-on learning environment to experience the processes and practice of data analysis with Hadoop and the R statistical language with the outcome of implementing a recommender solution with R and Mahout.
The Developing Solutions using Apache Hadoop training course is designed for developers who want to better understand how to create Apache Hadoop solutions. The course consists of 50% hands-on lab exercises and 50% presentation material.
After successfully completing this training course each student will receive one free voucher for the Hadoop Certified Developer exam.