Big Data and Hadoop Online Training

About Big Data and Hadoop Online Training

The Big Data and Hadoop training is designed to provide skills, knack and knowledge to become the finest and expertise Hadoop developer. It provides the learner with in-depth and thorough knowledge of concepts such as HDFS, Hadoop Architecture, HIVE, Flume, HBase, Map-Reduce, Oozie, Big Insights, Sqoop, PIG, Impala, JAQL, Administering Hadoop Cluster etc. At the end of the training the learner would get prone to practical exposure and could gain hands-on experience in the topics covered.

Course Objectives

The Big Data and Hadoop training is designed to provide skills, knack and knowledge to become the finest and expertise Hadoop developer. It provides the learner with in-depth and thorough knowledge of concepts such as HDFS, Hadoop Architecture, HIVE, Flume, HBase, Map-Reduce, Oozie, Big Insights, Sqoop, PIG, Impala, JAQL, Administering Hadoop Cluster etc. At the end of the training the learner would get prone to practical exposure and could gain hands-on experience in the topics covered.The learner may start with no knowledge in course of “Hadoop” and this training would not only help them, to “learn” and “setup” Hadoop but also helps one to clear the certification level examination at fraction of cost.

Soon after the successful completion of the 'Big Data and Hadoop' Course the learner could be able to excel in the following topics:

• In order to understand the Architecture of Hadoop 2.x – Name Node High Availability and HDFS Federation.
• How to setup a Hadoop cluster?
• How to write Complex MapReduce programs easily?
• To Implement the Hadoop Project
• Programming Methodologies in YARN
• How to implement MapReduce Integration, HBase , Advanced Indexing and Advanced Usage.
• To Implement the best Practices for the Development of Hadoop
• To perform Data Analytics by using Pig and Hive?
• To understand the Data Loading Techniques by using Sqoop and Flume!!
• Helps one to Master the concepts of MapReduce framework and Hadoop Distributed File System.
• Programing techniques in MapReduce?
• How to schedule jobs by using Oozie?

Who should go for this course?

This course is mainly designed for professionals who aspire to make their career graph in Big Data Analytics using Hadoop Framework. The key beneficiaries of this course includes Project Managers, Analytic Professionals, Testing Professionals, Software Professionals, ETL developers etc.. But not only these it also includes some other professionals who looks forward to acquire the solid foundation can opt this course with no other second thought.

Pre-requisites

The pre-requisites which the learners have to possess, in order to learn Hadoop is to have the basic knowledge in “Core& Advanced Java Concepts” and also the analytical abilities through which they can easily grasp and apply the concepts essence in Hadoop. In addition to this we do offer special program namely ““Java Essentials for Hadoop” for all the participants who ever enrolls with us for Hadoop course to brush up their Java skills which ever needed to write and monitor the programs in case of “Map Reduce”.

Why learn Hadoop?

Many of us have a common doubt that why to learn Hadoop and why is it so important? In this fast and emerging Internet world as we all know that the wide range of varieties/volumes of data grow each and every day, especially from automated sensors and Social Media… so how to handle this?????

One of the best solution for this is: “Hadoop” where it can handle, the large amounts of the data, i.e.(the data can be of any kind) in a quicker and easier way.

And let us consider few more factors:

Low cost:

To store huge quantities of data Hadoop makes use of “open-source framework” which is of free of cost and it even uses “distributed computing model” through which it can quickly process the data (high volumes).

Scalability:

Only with Little administration the user can easily grow their system by simply adding more nodes to it.

Storage flexibility:

Unlike the traditional relational databases, there is no need for the user to preprocess the data and to store, include unstructured data like text, images, videos by Hadoop.

Inherent data protection and self-healing capabilities:

The processing of applications and the data seems protected against the hardware failure. If at all the node goes down, then the jobs gets automatically redirected towards other nodes in order to ensure that the distributed computing does not fail at all. Hadoop is an open-source software framework which helps to store and process the big data in a distributed fashion. Essentially, it mainly helps to perform two tasks:

a. Faster processing.

b. Massive data storage

Opportunities for Hadoopers!

Opportunities for Hadoopers seems infinite – i.e. from Hadoop Developer, to the Hadoop Tester/ Hadoop Architect, and so on.

If at all the cracking and managing of Big Data is passion in life, then think ahead and Join Hadoop Online course and carve a niche for yourself!