What is Hadoop?

what is Hadoop so you know that nowadays

were dealing with huge amount of data on

cloud and that's why we are getting a

new problem that is a Big Data and

Hadoop is the solution of that problem

so Hadoop is nothing but one solution

towards this big data problem and we'll

be discussing what is Hadoop into

further more details so let us go for

further details we are going to discuss

what is Apache Hadoop so Apogee Hadoop

is nothing but one open source framework

and Hadoop can easily handle large

amount of data on a low cost simple

hardware cluster so cluster means it is

collection of multiple computers and

low-cost computers means here we are

using the commodity nodes or commodity

servers that means the hardware cost is

very low and that's why you are going to

give a low cost solution and this Hadoop

is actually providing the solution for

the big data and this Hadoop is scalable

if you require to reduce the workload or

divider or block with multiple servers

then the workload can be divided in a

horizontal scaling so Hadoop can easily

handle the large amount of data on a low

cost simple hardware cluster and Hadoop

is also scalable and fault tolerant

framework fault tolerant means if one

computer goes down if one server goes

down then another server will come into

the play and from the users point of

view they will not fail any kind of

failure theories having the failure

transparency the Hadoop is not only a

storage system data can be processed

using this respective framework so data

will be processed analysis can be done

here so the Hadoop system is basically

written in Java language Hadoop is open

source tool from the Apache Software

Foundation and as the open source

project we can even change the source

course of the hadoop system so as it is

open source also we can change the code

and most of the codes are written in

Java language most of the Hadoop codes

were written by Yahoo IBM cloud era

cetera so these companies have written

so many codes in Hadoop open source how

to provides parallel processing through

different commodity hardware

simultaneously so commodity harder means

that cheap hardware with the help of

which we can have the parallel

processing so that data processing and

analysis will be done in every faster

way as it works on commodity hardware so

the cost is very low and the commodity

hardware is low end and very cheap

hardware so the Hadoop solution is also

economic and cheap why we should use

Hadoop so it is a very important and

common question so the Hadoop solution

is very popular and it has captured at

least 90% of the big data market Hadoop

has some unique features that makes it

the solution very much popular and

Hadoop is scalable as we have discussed

earlier to do the load sharing we can go

on adding other community commodity

servers so that's right Hadoop is

scalable in that case so we can increase

the number of commodity hardware easily

and it is a fault tolerance solution

also we have discussed this one if one

node goes down then another node will

come into the system and when one node

goes down other nodes can process the

respective data data can be stored as a

structured unstructured and

semi-structured mode so it is more

flexible in operation we know that in

case of structured data we can represent

our data in the rows and columns so

database is a is a good example of

structured data and the sources might be

the say we are having the web locks

we're having the machine generated data

we're having the sensor data so that is

the source of the structured data we're

having the unstructured data that means

the data is not structured as an example

you can concerned consider a text file a

PDF video images images sent by the

respective satellites and different

machine generated data can be the

unstructured data and semi structured

data is some something like to some

extent structured and to some extent

unstructured as an example we can go for

XML files

JSON files and so on so all this type of

data can be stored into the

system so in this particular video we

have discussed what is Hadoop and what

are the different features thanks for

watching this video