Big Data and Hadoop Training for Beginners

http://data-flair.com/course/big-data-and-hadoop/

Email us: info@data-flair.com

Phone: 8451097879



This video covers: Basics of Big Data & Hadoop, Introduction to Big Data, Why Big Data, essence of Big Data, volume, velocity, variety, veracity of Big Data, Problems with conventional systems like RDBMS and OS file-system, Introduction of Hadoop, Introduction of Map-Reduce, Introduction of HDFS, Real time Hadoop use cases, Introduction of Hadoop ecosystem, Future of Hadoop, Careers in Hadoop, Job Roles in Hadoop like: Hadoop Analyst, Hadoop Developer, Hadoop Admin, etc. How Data will help you in making your career in Big Data.



About Big Data - Hadoop Training Course:

An online course designed by Hadoop Experts to provide indepth knowledge and practical skills in the field of Big Data and Hadoop to make you successful Hadoop Developer.



Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Hadoop Cluster- Single and multi node, Hadoop 2.0, Flume, Sqoop, Map-Reduce, PIG, Hive, Hbase, Zookeeper, Oozie etc. will be covered in the course.





Course Objectives:



After the completion of the ‘Big Data and Hadoop’ Course you should be able to:



1. Master the concepts of Hadoop Distributed File System and MapReduce framework

2. Setup a Hadoop on single and multi node Cluster

3. Understand Data Loading Techniques using Sqoop and Flume

4. Program in MapReduce (Both MRv1 and MRv2)

5. Learn to write Complex MapReduce programs

6. Program in YARN (MRv2)

7. Perform Data Analytics using Pig and Hive

8. Implement HBase, MapReduce Integration, Advanced Usage and Advanced Indexing

9. Have a good understanding of ZooKeeper service

10. New features in Hadoop 2.0 — YARN, HDFS Federation, NameNode High Availability

11. Implement best Practices for Hadoop Development and Debugging

12. Implement a Hadoop Project

13. Work on a Real Life Project on Big Data Analytics and gain Hands on Project Experience



Please contact us for more details: info@data-flair.com, 8451097879.

Installing YARN (Hadoop 2.4.0) on Ubuntu

Steps to install Hadoop 2.x release (Yarn) on single node cluster setup (pseudo-distributed mode)

Hadoop 2.x release involves many changes to Hadoop and MapReduce. The centralized JobTracker service is replaced with a ResourceManager that manages the resources in the cluster and an ApplicationManager that manages the application lifecycle. These architectural changes enable hadoop to scale to much larger clusters. For more details on architectural changes in Hadoop next-gen (a.k.a. Yarn), watch this video or visit this blog.

This post explains on installing Hadoop 2.x a.k.a. Yarn on a single-node cluster.

Prerequisites:

1. Java 7 installed
2. Dedicated user for hadoop (not mandatory)
3. SSH configured

Steps to install Hadoop 2.x:

1. Download tarball

You can download tarball for hadoop 2.x from http://apache.cs.utah.edu/hadoop/common/current2/ (hadoop-2.4.0.tar.gz ).

Extract it to a folder in your home directory say, $HOME/yarn.

$ cd $HOME/yarn (Optional)

$ sudo chown -R hduser:hadoop hadoop-2.4.0

    READ MORE >>

Nixus Technologies - Hadoop Training Demo Video

Nixus Technologies is the leading providers of Hadoop training. Its an online training program which will be taken through GTM (GoToMeeting). All Trainers are having 16+ years of industry experience and 4+ years of Big Data/Hadoop experience.

Following is the specialty of Big Data/Hadoop Training course:
- 80% training is practical
- The duration of course is 36 - 40 Hrs
- Training involves multiple workshops to explain the practical concepts
- Regular assignments will be given to the candidates
- Study material, PPTs, Project and POC codes, etc. will be given to the candidates
- Course involves 3 Proof Of Concepts
- Course involves a Real Life Project
- Trainer will assist you for interview preparation

Nixus Technologies aims to provide individual attention to all its trainees. Keeping it in mind, it targets to maximum of 10 candidates per batch to enable better learning by all. Training is highly interactive and provides classroom environment.

Nixus Technologies Big Data Introduction