MAIN MENU

Main Menu

Institute / Trainer Account

Social Links

img

Hadoop Career & Salary in 2021

Hadoop

Table Of Contents:

1.History Of Hadoop.

2.Introduction Of Hadoop

3.Components Of Hadoop

4.Features Of Hadoop

5.Why Is Hadoop Important In 2021?

6.Skills required to become Hadoop developer

7.Hadoop Developer Salary In India

8.Positions as a Hadoop Developer

9.Conclusion

History Of Hadoop:

Hadoop was developed by two researchers named  Doug Cutting and Mike Cafarella in the year 2002.These two people started to work on Apache nutch project.Apache nutch project was process of building search engine that can index around or more than 1 million pages easily by using this Apache nutch project.After a lot of years of research they came to a point that this project will costs us around 1 million dollars with maintenance cost cost 30,000 dollars monthly.this is very costly .

At This time they were looking for solutions for this to store large amounts of processing datasets.  

In 2003 Google introduced google distributed file system for storing and processing large amounts of processing datasets.but this was only half of the solution to their problem

In 2004 Again Google introduced Mapreduce technique this is another half solution to their project.

In 2006 Doug Cutting and Mike Cafarella Joined In Yahoo and started researching about their Nutch project. At this time They named Nutch to Hadoop. This was a yellow toy elephant owned by Doug Cutting Son. 

In 2008 Yahoo released this Hadoop as a free and open source distributed project to Apache software Foundation where they have tested this project with 4000 node clusters.

In the year 2011 Apache has  released  its first version as Hadoop 1.0 version 

Latest Version of Hadoop was 3.0 released in December 2017.

Introduction to Hadoop: 

Hadoop is an open source framework that has a set of tools distributed under Apache software license.This Hadoop is used for Store,Manage,optimize the data for big data applications under Clustered systems.In The olden days Bigdata has 3vs but now it has a 5vs  of Big Data which is also known as characteristics

Components Of Hadoop:

They  have three components which can be described below 

1.HDFS

2.MapReduce

3.Yarn

1.HDFS:

HDFS is termed as Hadoop distributed file system. It is a distributed file system used to store ,manage,optimize big data applications under cheaper hardware with streaming access Pattern.This HDFS used to store data in nodes with clusters.this provides security for data.

2.MapReduce: 

Data stored in HDFS needs to be processed upon for this a query needs to be sent from map reduce to data stored in HDFS for mapping data.Now query will break into different parts and the result will be sent to the user.

Thus Mapreduce is used to process the data stored in HDFS

3.Yarn: 

Yarn is termed as Yet Another Resource Negotiator this is used for scheduling job.The various types of scheduling is First come first serve,capacity scheduler etc.

Features Of Hadoop:

There are many features for hadoop but some of the features among them will described below:

1.Economically Feasible

2.Easy to Use

3.Scalability

4.Open source

5.Distrubuted processing

Why is Hadoop Important in 2021?

1.Hadoop has an ability to Store ,Manage ,optimize and process big data very fast and quickly manner

2.Hadoop has very good computing manner because the more computing nodes you have the more speed you have for processing data very quickly

3.Unlike relational databases you don't need to preprocess to store data in databases hadoop automatically stores the data.

4.This is a free and open source data distributed framework which is more cost effective.

5. You can easily improve your  system performance to handle big data you can do it simply by adding nodes

SKills Required To become Hadoop Developer:

1.Knowledge of any programming language like Java Or Python.

2.Hadoop Basics

3.Hbase

4.Kafka

5.Apache Spark

6.Apache Hive

7.GraphX

8.Flume

Hadoop Developer salary In India:

The Major Factors Affecting Hadoop developer Salary In India It depends On Your Qualification,Salary,Experience are to be considered among the Most.

The average salary for Hadoop developer  Differs by Location, Experience,Skills etc.

The Average Basic Salary In Hyderabad Is 3,80,000 per annum This Amount can be Lowered as Rs. 2,15,000/year and reach a maximum of Rs. 50,00,000/year depending on different conditions Like Qualification ,Location, Experience, Salary.

 Positions For  a Hadoop Developer:

1).Entry Level

The Average Basic Salary For Entry Level Hadoop developer  in India is Rs. 3,80,000 per annum

 2).Mid Level

The Average Basic Salary For Mid Level Hadoop developer in India is Rs. 15,00,000 per annum

 3).Senior Level

The Average Basic Salary For Senior Level Hadoop developer in India Is Rs.50,00,000/Yr

 Conclusion:

If a Person looking for a Big Data professional career then Hadoop developer is best among them. These developers have growing demand in today's world. Hadoop developers will have bright future Top companies hiring hadoop developers are Tech mahindra,Accenture,Capgemini,TCS etc.These Company are ready to pay high packages for skilled and experienced developers.

Register Now

SEND COURSE ENQUIRY