The Big Data system and Hadoop for effective Java application development
Ritesh Mehta Oct 12, 2017
Businesses, organizations are always on the lookout for a tech solution that uplifts excellence, that’s independent to work in different computing platforms and of course cost-effective. A Java based software or apps help them realize these values. Java is one of the independent platform, it’s open source and the most preferred technology to implement each and every kind of app, including web based, client-server, cloud, mobile and enterprise apps. Java development is in demand and enterprises nowadays are adopting Java app development to minimize expenses, boost service and drive innovation in programming languages for enterprise engineering and architecture.
USING BIG DATA AND HADOOP FOR EFFECTIVE APPLICATION DEVELOPMENT
Data analytics software is a great choice for developing effective Java apps. Java and Java tools are popular for developing apps with extreme scalability and performance requirements. The technologies of the programming language help develop big, high performance and robust applications that can be seamlessly extended. Furthermore, the language is supported by all key platforms, the programs written only once can be executed anywhere. Moreover, there is no need for any vendor-centered deployment descriptors to port an application from one server to another. Simply put, Java programs are called ‘write once, run anywhere’.
GET INTO BIG DATA AND HADOOP
Hadoop is a programming framework that is based on Java. It supports processing and storing of very big sets of data sets in a distributed computing scenario. It’s a part of the project sponsored by the Apache Software Foundation. It’s not easy learning Hadoop, but becomes hassle-free if one is able to overcome the hurdles. Advanced Java concepts knowledge for Hadoop is a huge plus. To cater to app development services for the programming language, there are some organizations that adopt Hadoop as a solution with the changing business requirements and demands. The demand for the system professionals in the market greatly varies.
TURNING TO JAVA
With the amount of data projected to continue is massive, rapid growth, the need to analyze the huge data amount will continue growing as well. The gold standards in a batch computational computing power to his point has been Hadoop. It’s no surprise that Java is expected to become the gold standard of data analytics in the years to come. With roots engrained deeply in open-source communities, a huge benefit of using Java is the amount of code that’s available publicly that exists already.
THE FUTURE OF BIG DATA IS JAVA
Even if the programming language has been around for more than two decades, data analytics has just been around recently. Majority of people has not heard about it. Because it’s very new to many, the term still evolves and could mean different things to various people. To most, it means any amount of structure data that can be used, mined or better understood for information or intentional use. Java is already everywhere, on desktops, mobiles, tablets, Macs and personal computers. There is also the growing popularity of learning to code in the language. The quest for learning as well as the abundance of information is the reason why a lot of companies prefer Java for developing apps compared to the other programming languages. Its relevance on the platform makes the programming language one of the most in-demand skills these days and in the future. That is why it is a very good choice for big data analytics.
Millions of connected devices result in the IoT triggering huge inflow of data. Current data technologies need to be augmented to store effectively, manage and extract value from continuous streams of sensor data.
REASONS WHY PROFESSIONALS OF JAVA MUST LEARN HADOOP
Hadoop professionals receive 250 percent salary increase. Developers of Java have increased the possibility of having a strong salary rise when they shift to big data jobs. Today is the best time for Java professionals to learn Hadoop.
A Java professional who knows Hadoop specializes himself or herself to take on the challenges of big data. Learning Hadoop, along with data analytics would make one stand out from the rest. Businesses all over the world are not using Hadoop because they want to, they have shifted to it since it makes perfect business sense and they keep looking for Java developers skilled with it. Learning Hadoop makes it easier to dig deeper into the codes and would be in a better position to comprehend the functionality of a specific module. This is where Java professionals gain an advantage over other professionals. Java is the leading skill needed for Hadoop developers. A combination of Java and Hadoop is synonymous to plump packages. Aside from accelerated career graph, professionals of the programming language who learn Hadoop could look forward to better packages compared to other technologies.
If Java professionals learn Hadoop, they would then become more valuable to their present organizations and their combined skills would make them more marketable. These days, enterprises are betting big that harnessing data could play a key role in being competitive, which lead to higher pay for important skills.