Learn about basics of Big Data Hadoop Training
Big data
Hadoop Training gets lots of knowledge of computer science. With the big data
Hadoop training Tutorial, you will learn the fundamentals of big data Hadoop,
components of the Hadoop ecosystem. This is used for the development of
real-time projects in the banking sector as well as social media. It provides basic and advanced concepts of
big data and Hadoop. Our Big data Hadoop tutorial is designed for beginners and
professionals.
Big data
hadoop training Tutorial-Learn Big data and hadoop
Big data means simply data in large amounts.
The huge amount of collection of data in size which increases exponentially
with time is called big data. Hadoop is an open-source platform that can handle
these huge amounts of data available on the internet. Nowadays the popularity
of these open-source frameworks goes on increasing because of its capability to
perform high-end processing data towards the low-end hardware. Big data should
be divided into three types such as structured data, unstructured data, and
semi-structured data. exltech is one of the best big data training institutes
in Pune
What you
learn from the big data hadoop tutorial for beginners
The knowledge big data hadoop
training tutorial can cowl the pre-installation setting setup to put in hadoop on Ubuntu and
detail out the steps for hadoop single node setup so you perform
basic knowledge analysis operations on
HDFS and Hadoop MapReduce.
This hadoop
tutorial has been tested with –
o Ubuntu Server 12.04.5 LTS (64-bit)
o Java Version 1.7.0_101
o Hadoop-1.2.1
o Ubuntu Server 12.04.5 LTS (64-bit)
o Java Version 1.7.0_101
o Hadoop-1.2.1
Applications of the Big data hadoop Installation tutorial
1. Steps to install the pre-requisites software Java
2. Configuring the Linux Environment
3.Hadoop Configuration
4.Hadoop Single Node Setup-Installing Hadoop in Standalone Mode
5. Hadoop Single Node Setup-Installing Hadoop in Pseudo Distributed Mode
6. Common Errors encountered while installing hadoop on Ubuntu and how to troubleshoot them.
Exltech provides all the required certification and inputs
required for a successful industry experience. All the modules of Hadoop square measure designed
with a standard aim at
mind to be mechanically handled by the Hadoop framework. The core programming of Apache Hadoop consists of a
storage part known widely as Hadoop Distributed File System (HDFS) and a processing
part which is a Map Reduce
programming
model. Hadoop
splits files into giant blocks of knowledge and distributes them
across nodes in an exceedingly cluster based mostly system. This gives the advantage of data locality where nodes
are easily manipulated into the data on the access they have. This
allows quicker information set process with a lot of expeditiously than it'd be in an
exceedingly a lot of standard mainframe design that depends on
a parallel classification system wherever computation and data are distributed via high-speed networking
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