Brief History on Hadoop

In this video we are discussing brief history on Hadoop

So prior we had the traditional system to do the data ysis, to do the data processing, report generation and so on

But the traditional system was working on a data set whose size was very low

Nowadays we are dealing with huge amount of data on cloud. So traditional system cannot work on that

So that's why due to the limitation of traditional system, this new system has come in the system

system has come into the play and that is known as the Hadoop. So let us go for further more discussion on this brief history on Hadoop now

Let us discuss a brief history on Hadoop. So why Hadoop have got originated or why this Hadoop came in the market

So before developing the Hadoop solution, the traditional approach was used to store our data

And in the traditional approach, it can work fine if the data is not large

and when it tries to work with a huge amount of data that traditional approach fails to do the

task accordingly and that's the reason why this had to have come in the scene so google's will

google has provided one solution so what is the google solution so google solve this problem by an algorithm called the map reduce and this algorithm divides the task into smaller parts and assign them to many low computers and after finishing the job it takes the output

from different systems and merge them all to create the final required output out of the data

and hadup was originally developed for the Nudge search engine project by dog cutting and his group

so we know that Hadoop is nothing but one open source tool from the ASF that is the Apache

Software Foundation so open source project means it is freely available and you can

even change its source code as part the requirements we are having so if certain

functionality does not fulfill our need then we can change it accordingly and

according to our need and most of the Hadoop code is written by Yahoo, IBM, Facebook, cloud

data, etc. And it provides an efficient framework for running jobs on multiple nodes of clusters

A cluster means a group of systems connected via LAN and Apache Hadoop provides the parallel processing

of data as it works on multiple machines simultaneously. And that is a brief history

of Hadoop. Thanks for watching this video