Hadoop Technology

Have you ever pointed out the question of how trending social media like Facebook can handle a large amount of data?

So today in these articles we are gonna cover each concept of it and the technology behind it.

The technology named Hadoop has contributed to its large success in all those deals.

So here you will attempt to a question what does Hadoop mean?

Hadoop, an open-source technology that helps to store large amounts of data as well as helpful for processing parallel.

Hadoop technology can be freely accessed by anyone anywhere and you can originate benefits out of it.

Evolution of Hadoop Technology

Do you know?

85 to 90% of data was developed within a decade or less than it, which means it's going to add more power in upcoming years too.

Entirely the data is produced through smartphones, Social Media, and other sources.

Previously, when the bulk of data was required to be examined, many of them chose to maintain and present huge statements and invoices to their database dealer.

Presently, the companies got permanently rid of maintaining and presenting all those statements and invoices.

So these happened just because the companies like Google have developed an algorithm that enabled large data calculation to be divided into smaller pieces and later on mapped to many computers, after then the calculation will be generated concurrently to create the final data outfit.

The introduced algorithm is named MapReduce, later on, the usage of algorithms aimed to develop an open-source project named Hadoop enables the application to operate via the MapReduce algorithm.

To carry out successfully, MapReduce acts as very reliant on Java coding.

Nowadays, the market is developing at its great height and thus these gave rise to many technologies to assist the business to obtain its effective and efficient design, without the help of java code.

Why opt Hadoop

Hadoop technology offers its two best services.

Hadoop is made up of two components

HDFS

Here in Hadoop technology, HDFS is used for storage, HDFS enables you to store data of various layouts across a cluster.

MapReduce

MapReduce is a processing unit of Hadoop, which enables parallel processing of data which is stored across the HDFS cluster

Both components add great stuff to the use of Hadoop technology which is the easiest and cheapest way to get invested.

Though the demand for Hadoop technology in recent days is quite less I know in upcoming days it will surely uplift its progress.

Hadoop will stand outstanding as adding its part in statistical analysis, ETL processing also in Business Intelligence.

The exact working of Hadoop Technology

Rapid Storing of big datasets.

Here Hadoop technology stands worthy, as one of its components is HDFS a distributed file system that solves the error and helps to store big datasets.

Storing distributed data.

Here also Hadoop technology stands worthy as its first component solved these error, the work of HDFS is to store distributed data.

Processing Data

Herein Hadoop technology's second component works outstanding as it conducts parallel processing.

Conclusion

So, within the article, I've explained in short, Today's need for Hadoop technology. That how it lessens the workload, expenses, and all those traditional limits.

So, add up your views on the need for Hadoop technology.

Stay united.