Big Data Hadoop Training

JavaTpoint is the best Big Data hadoop training institute in Noida, Delhi, Gurugram, Ghaziabad and Faridabad. You will get practical training on Hadoop by our Hadoop expert who have 5+ year industrial experience.

Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs. In Hadoop training our training institute offers practical knowledge and full job assistance with Hadoop training course and full job assistance with Hadoop training course.

Industrial Overview

Hadoop technology is used for Big Data analysis. Hadoop market is growing very rapidly which provides cost effective and quick analysis of huge amount of data. Hadoop training is one of the most trending and highly carrier oriented courses in IT industry.

Hadoop is very popular among the data analysis technologies as it provides details analysis which helps in creating maps and graph of the data provided by the industry.

Many top it industries are using Hadoop technology such as Facebook, Twitter, Linkedin, Ebay, Alibaba etc. which provides the interest of industry over this technology.

Technology Introduction

Hadoop is an open source software framework which is used for distributed storage and helps in analyzing data set by using MapReduce programming model. The three main features of Big Data are:

  • Volume
  • Velocity
  • Variety

Hadoop was developed by Apache software foundation’s which consists of storage part, known as Hadoop Distribution File System (HDFS). Apache Hadoop consists of following modules:

  • Hadoop Common
  • Hadoop Distributed File System
  • Hadoop YARN
  • Hadoop MapReduce

Current Updates and Scenario

Updates

  • Version 3.0.0 is released in December 2017.
  • Cloud solution introduced
  • Oss sdk dependency is removed on Cat-x
  • New application introduced for data cleaning, data preparation and data exploration task.

Current Scenario

It is stated that within past 5 years 90% of today’s data is generated which defines the importance of technology in data analysis. Hadoop not only become popular but has become an essential technology as there is an exponential growth in the data. Hadoop is getting more open source developer to improve the environment structure.

Benefits & Future Scope

Benefits

  • Scalable
  • Cost Effective
  • Flexible
  • Resident to failure
  • Fast execution

Future Scope

Data is increasing exponentially and will grow with faster rate so to optimize Hadoop will grow its more popularity. All the companies are spending a huge investment in big data analytics. Big data field will create more job opportunities.

Why JavaTpoint

1.  Life time validity (if you face any type of problem in any training module, you can continue that module)

2.  Good job assistance

2.  Interaction with Industry Experts

3.  Small Batches to focus on each student

4.  We mainly focus on practical classes rather than theoretical classrooms.

5.  You will get a chance to involve in live project.

6.  Flexible hours available (if you have any problem in timing, you can get daytime, weekends and evening batches)

7.  You can learn hadoop from our tutorial website: http://www.javatpoint.com/hadoop-tutorial

Conclusion

Hadoop is an implementation of Big data technology. It helps in development of highly advanced analysis of data. This technology provides GUI for analysis by providing MapReduce, graph, pie charts etc. Data is increasing exponentially and will grow with faster rate so to optimize Hadoop will grow its more popularity thus field will create more job opportunities.

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