Java Is The Next Big Thing In The Future of IoT and Big Data

Digitization has totally changed the face of business models across multiple industries. Today, data has enslaved almost every market analysis and as a result, the rate of data generation is outpacing our analysis competence. As Big data is acquiring the major market today, it is followed by the invention of successful platforms such as Hadoop- a Java-based programming framework with high-end analytic and computational power that allows us to process huge data sets.

On the other hand, after the internet, the next big thing stealing the aura of every possible functionality of the current generation would be the Internet of Things (IoT). This innovation is dependent on embedded technology and artificial intelligence and is meant to partake in human-like execution. However, the implementation of embedded systems require quite a lot of efforts- and hence demands the role of Java in the landscape of IoT.

In this article, I will explain the possibilities of Java in IoT and Big Data. So let’s get started.

The Role Of Java in IoT

Here are few rewarding features of Java, which contribute a major part in devising any IoT system.

Portability

One of the core reasons for choosing Java for IoT development is its portability over networks- almost all devices, from your mobile phones to your laptops, use Java. Also, because of its splendid network abilities, it is contemplated as an integral part of the internet and a perfect fit for IoT.

Platform Independence

When you are developing an IoT system, platform independence is the foremost aspect that you’d probably look out for. While initiating an embedded application, here are the three factors you need to consider the most:

• Real-time operating system
• Processor
• Different protocols for connecting the devices

It enables the implementation of “writing once and prototyping anywhere” facility on different types of hardware platforms.

Easy To Migrate And Flexible

IoT programmers mostly gravitate towards Java because of its virtual availability and flexibility. Basically, one can do anything with a little assistance from Java as the migration ability of any Java-based applications or software is pretty high. The reason behind it is, if any application is developed using Java, the overall procedure will be less prone to error, and there will be negligible issues while migrating to a new platform.

What Is The Function Of Java In Big Data?

When someone mentions anything about big data, the first thing that crosses our mind is- what does it actually do?

Well, big data handles humongous data sets, in its formatted or unformatted forms, and processes them to offer a valid output to the enterprises in the requested format. Here are a few crucial purposes of big data:

• Complex pattern analysis uses big data
• To process large sets of data and secure insights into a trend
• Using processed data for the purpose of machine learning and develop automated systems and processes

For the functionalities that I mentioned earlier, the Java-based tools and frameworks are predominantly used. Some of the groundbreaking tools are Apache Storm, Apache Hadoop, Apache Spark, and so much more. Since a majority of these tools are powered by Java, the Java concepts are widely implemented in the path of data processing.

Also Read How To Improve The Readability And Quality Of Java Code

What are the advantages of using Java in Big Data and IoT?

• Enhanced device performance
• Higher Resource availability
• Increased marketability
• Secure and Reliable
• Reduced Support Cost
• High adaptability
• Increased Life Cycle

A Final Note

The bottom line of the whole story is- Java is thriving successfully in every technological field. And therefore, IoT and Big Data are leveraging its maximum benefits in the current days. What do you think about the role of Java in the landscape of IoT and Big Data? Let us know!