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Big Data Hadoop
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On
5/11/2018 9:11:33 PM
Students
undergoing Big Data Hadoop Training in Mumbai know that Hadoop not only
provides distributed storage but also facilitates distributed data processing. When
it comes to s to unstructured data like time stamp, user ID, or social media comments,
then traditional data processing spreadsheets or relational databases would not
generate sufficient insights. For this you need the prowess of Big Data and
Hadoop is the framework that allows for valuable big data processing and
analytics.
Here are
some reasons why Hadoop is essential for Big Data
1 – Storage
In a
typical architecture data is stored in a storage cluster. From here, it is
transferred to a compute cluster to carry out the analytics and processing.
Traditional storage system do not have the inbuilt capacity to do the
processing by themselves. They need to transfer the data to the computer
cluster to carry out the data processing. This is a big drawback when it comes
to relational databases.
With Hadoop
this is not the case. As a student of Big
Data Hadoop training in Mumbai you would know that Hadoop is designed to
execute on a cluster of machines. So storage and processing happens on the go.
No additional time is needed to transfer the data and hence processing happens
in swift time
2 –
Scalability
Hadoop
clusters are designed to scale horizontally. So if you are a student of Big Data Hadoop training in Mumbai and
expect a very huge batch of data spanning millions of rows of records, then you
can simply add nodes and improve its processing prowess. As a result you don’t
need to go hunting for expensive hardware integration when the demand on the
existing cluster increases.
3 – Data in
any shape, any format
It is not
necessary to feed in just structured data to Hadoop. For those undergoing Big Data Hadoop training in Mumbai, it
is nice to know that it can easily handle unstructured data as well.
4 – Does
both storage and computing
Hadoop can
facilitate both – storage of big data and processing of the data. Traditional
databases need different clusters for these two distinct function As a result
movement of data from one cluster to another takes time and efforts – a totally
unwanted point that is eliminated by using Hadoop.
To sign off
It is
evident that taking part in Big Data
Hadoop training in Mumbai will help you make a great career move in Big
Data analytics. These above mentioned reasons who exactly why this is the case.