Скачать или смотреть Hadoop Development | Hadoop Development Tutorial for Beginners

Published on April 01, 2015
Hadoop Development | Hadoop Development Tutorial for Beginners |
http://kerneltraining.com/hadoop-deve...
Phone: 91 8099 77 6681

View Hadoop Demo Recording:

Kernel Training has designed classroom and online course to upgrade your real time analytics knowledge and skills on the understanding Hadoop cluster in a Hadoop development environment. Our Hadoop development tutorial for beginners provides full information on Hadoop development while explaining the modules in the video. In the process, you will be explained about Hadoop installation on Windows 7, Ubuntu, and the presenter will also give you a brief introduction of Hadoop architecture tutorial, and this demo can enable any developer to append knowledge. In the course of discussions, you can understand important Hadoop interview questions and answers. The basic Hadoop Development course describes on the various Hadoop components such as Hadoop pig, yarn, hive, and Sqoop. We are hopeful that this video tutorial will benefit any beginner and becomes a stepping stone to learn in detail by joining our online training courses.
Join this Hadoop demo with KernelTraining.

About Course:

MapReduce applications in Java improves application performance objective. The course also covers debugging, managing jobs, improving performance, working with custom data, managing workflows, and using other programming languages for MapReduce.

Additional Benefits:

You can learn on Admin use case, Benchmarking the Cluster, Final Project, Final Hadoop Project Environment, Understand how multiple Hadoop ecosystem components work together, In a Hadoop implementation to solve Big Data problems, Discuss data sets and specifications of the project, Case Studies Discussions, Discussion on one final real-time project presentation.

Course Objectives:

 Implement basic Mapreduce application.
 Describes Hadoop 2.0 , Hadoop Distributed File System (HDFS) and MapR-FS file systems.
 Learn to implement the functionality of the Mapper, Reducer, and Job classes.
 Characterize and improve MapReduce job performance.
 Manage and debug MapReduce jobs.
 Using different data sources in MapReduce.
Following are the topics that have been discussed by our Presenter:
Course Curriculum:
 Big Data and Hadoop Introduction
 Understand Hadoop Cluster Architecture & Map Reduce
 Advanced Map Reduce Concepts
 Planning for Cluster & Hadoop 2.0 Yarn
 Hadoop 2.0 & YARN
 PIG
 Hive
 HBASE
 Flume & Oozie
 Final Project in Banking Domain
 Fundamentals of Scala
 Apache Spark

Related Blog Posts:

http://hadoopadmin.com/pig-installati...
http://hadoopadmin.com/what-is-bigdat...
http://hadoopadmin.com/what-is-sqoop-...

KernelTraining is busily engaged in providing Instructor Led live online classes for course participants. At our online training you can prefer weekend classes or regular classes and you can complete the course in a hassle free manner. We do encourage self-paced learning and it is easily accessible.

This Hadoop development covers all the important details of the modules are described in this Hadoop demo. You can find presenter voice in the background and make use of sketch in describing the development concepts, use cases, and practical training.

Visit Us: http://kerneltraining.com/hadoop-deve...
Email Us: [email protected]
Phone No: 91 8099 77 6681