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Dhrumit Shukla
Dhrumit Shukla

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Big data applications in the Java application development environment

Java is a popular option for the development of apps with extreme performance and scalability requirements. Java application development services and technologies help build big, robust and high performance aps that could be extended seamlessly. Java, supported by all major platforms, the programs could be written once and executed anywhere, without a need for any vendor specific deployment descriptors for porting an app from server to server. Java programs, in a nutshell are also known as ‘write once, run anywhere’.

Data analytics apps are becoming a major force in most industries. Technology in healthcare works with physicians to diagnose potentially fatal bloodstream infections in a more accurate manner. As a result of the apps, big data tech is nothing but hot. Enterprises found out that huge data employments often are strewn with possible pitfalls. The apps do not adhere to the typical deployment process, thus developers in a Java application development company should think and of course act outside the box. The initial roll-out expenses could be high and ROI could be amorphous, thus having a new project off the ground could be a challenge. Working with enormous amounts of data means that programmers should guard from possible performance problems.

The ecosystem of Java is evolving and growing. This means better business apps for real-world scenarios as well as more opportunities for programmers of the language to be involved in just about anything, from the IoT to detecting online fraud. In the last five years, the amount of data that companies gather about the clients has exploded, based online behaviors in the form of website clicks, visits, photos, tweets, likes, blog posts and online transactions. Data then is diced, sliced, analyzed and fed back to people in digital ad campaigns form. The data volume collected is huge, each single minute of every day.

The data generated by people and devices takes a lot of time and costs a lot of money to load to a traditional relational database for analysis. That is why companies now adopt new analytics and storage approaches, which is described by the evolving term, which is big data. Data analytics involve data storage in a data lake or a storage repository in the cloud, which holds vast raw data amount in its native form until it’s needed. Big data often is done using Hadoop. It’s an open-source framework written in Java. It enables data analysts to store big sets of data across a great number of affordable servers an run MapReduce operations on JVMs or Java Virtual Machines in the servers to coordinate, to mix and process data. The MapReduce takes query over a set of data, divides it, and runs it in parallel over several nodes. Computation distribution solves the problem of data that is too big to fit in one machine.

With the data amount produced projected to continue is exponential, fast growth, the need of analyzing the huge amount of data would only continue to increase too. To this point, the gold standard in batch computational computing has been Hadoop. It’s no wonder that Java is expected to be the gold standard of data analytics as well as the IoT in the not-so-far future.

Running with the likes of Google, Apple and Facebook has been on the main stage of technology development in the last decade. Recently, a statement about the future of its mobile app, Facebook has thoroughly ruled out an HTML5 return and dedicating their future to its Reactive Native JavaScript framework.

With the roots engrained deeply in open-source communities, a big benefit to Java is the amount of code that’s publicly available, which exists already. Organizations such as Google, Apache and other giants in the industry have even contributed to the vast libraries of information and code. With the number of code that’s readily available for use by anyone, the IoT’s early development would greatly benefit from this already huge expanse of knowledge and information.

The Java framework is already on mobile, desktop, tablet, Mac and PC, and so the developers and programmers who make it happen. Aside from that, there is also the growing popularity in learning how to code Java. The abundance of information and the thirst for learning it is the reason why companies prefer Java for developing applications than any other language. Its relevance on every platform, together with the abundance of open-source code available makes Java one of the most in demand skills today and in the future.

Big data apps could profoundly impact the way that a business functions. Software develops could clear the hurdles by recognizing how the apps vary from traditional systems.

Discussion (1)

kspeakman profile image
Kasey Speakman

Is this a press release / marketing material? I don't see much of interest to devs in here.