Top 5 Reasons Java Developers should learn Hadoop?

What is Hadoop?

Hadoop is a free, Java-based totally programming framework that supports the processing of huge data units in a distributed computing environment. Its miles part of the Apache project sponsored through the Apache software basis.

Large quantity of data is being accumulated every single moment by organizations. To analyze those facts, they need tools and people skilled in using those tools. One such tool is Hadoop. With Hadoop, no data is large sufficient! Around 4 million entities were transformed to PDF by New York Times in just 36 hours the use of Hadoop. Huge data is almost a minuscule in hands of a technologist using Hadoop.

What is the Reason Java Developers should Learn Hadoop?

The foremost reason is, Hadoop is written in Java, and those developers who already have the expertise of this computer language can pick up Hadoop extra without difficulty than others. Java developers are at an advanced position in today’s marketplace.

             Ø  Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware.

Ø  Hadoop works on less expensive servers enabling it to both store and process data. Because of this, it is also called Distributed Processing.

Ø  It is also called Parallel Processing because it enables working on multiple servers at a time.

Ø  Map Reduce programs are written in Java which is relatively easy to analyze and use.

Ø   Hadoop is a Game Changer:

            Apache™ Hadoop® enables big data applications for both operations and analytics and is one of      the fastest-growing technologies providing competitive advantage for businesses across industries.

Ø  Hadoop is a key component of the next-generation data architecture, providing a massively scalable distributed storage and processing platform.

Ø  Hadoop enables organizations to build new data-driven applications while freeing up resources from existing systems. MapR is a production-ready distribution for Apache Hadoop.

Ø  Businesses and Organizations are using Hadoop in the best possible ways, and are in a constant hunt for java developers skilled in Hadoop.

Ø  Hadoop has the ability to handle all types of data (from disparate systems) such as server logos, emails senor data, pictures, videos etc.

Ø  The creation of SQL-on-Hadoop options will further enhance usability& adoption.

Ø  The Data Market will likely the fastest growth are Hadoop and No SQL software and services.

To Stay Ahead Of Your Competition:

 If you are a Java professional, you're simply seen as a person inside the crowd. However, in case you are a Hadoop developer, you are visible as potential leader within the crowd. Big Data and Hadoop jobs are a hot deal in the market and Java specialists with the specified talent set are easily picked through big companies for excessive revenue applications. Hadoop gives you and edge as a Java professionals & other software Engineers who will upgrade their skills.

 Scope to Move into Bigger Domains:

 Fortunately for you, the road would not cease with Hadoop and Map Reduce. There may be usually the golden possibility to use your Hadoop skills and expertise to move into higher levels such as Artificial Intelligence, Data Science, Sensor Web data, and Machine Learning.

 An Improved Quality of Work:

 Studying Big Data and Hadoop can be especially beneficial because it will assist you to deal with bigger, complex projects much easier and deliver better output than your colleagues. So one can be considered for value determinations, you need to be a person who can make a difference inside the crew, and that is what Hadoop helps you to be.

Conclusion:

 Learning Hadoop can keep you a step ahead from others. If you are a Java developer, then it’s highly recommended that you learn Big data Analytics and Hadoop.