One of the most in-demand technologies at the moment is Java. Java is consistently listed among the top programming language trends when someone searches for them. Although Java technology has been around for a while, it continues to flourish and is still highly regarded for creating innovative business software solutions.
Top 7 Trends to Watch in Java
GIT
Nearly every developer you come across will be acquainted with Git, a command-line version control system that needs a bit more understanding, but few will have mastered it. GitHub, its web-based twin, is quite useful. But from a distance, any developer who can utilize Git with assurance will seem like a magician. Git isn’t only a Java technology, but it’s still worth talking about if you want to keep learning about software development in general.
Android/Mobile Development
Another area where Java is widely utilized is mobile development. Java is often used in Android smartphone development. The most popular mobile platform in the world is Android, and Java is the main language used to develop Android apps. Java is also used to build cross-platform mobile apps utilizing frameworks like React Native. We believe that as the need for mobile apps increases, more Java development will focus on this area.
DevOps
DevOps is one of the newest trends in software development. It is a collection of procedures designed to increase the effectiveness of the software delivery process by integrating software development and operation.
Java applications benefit greatly from DevOps because of the robust tools support and extensive Java ecosystem. In a DevOps context, Java applications can now be deployed and managed more easily thanks to the use of containers and microservices. As a consequence, we anticipate seeing an increase in the use of DevOps for Java applications over the next several years.
Big Data
Engineers working on back-end systems are acquainted with the concept of data management. On the other hand, big data calls for more caution. Big data refers to both the techniques data engineers must take to deal with large and complex data collections.
It belongs to an entirely another league. And only a select few programming languages, like Python and Java, can take the brunt of it. Java is a formidable contender for any big data project, as seen by Apache Hadoop, Apache Mahout, and deep learning, among other Java technologies and tools.
Machine Learning with Eclipse Deeplearning4j
Eclipse Deeplearning4j is now growing in popularity in Java. The first preview of this Java machine learning library, which is used in the JVM environment, was published in March 2020.
It was created particularly for the JVM environment and is interoperable with other JVM languages. The neural network construction tool Deeplearning4j is regarded as a high-level framework. This implies that you may do a variety of jobs related to clustering and classifying data, as well as data analysis for high-level predictions, with the help of the toolset (e.g., weather forecast, predictions for the stock market, etc.).
Utilizing the Cloud
Another emerging technology that is worth highlighting is cloud computing. Let’s first define the word “cloud computing” before we can talk more about this trend. Cloud computing: What is it? It is used to characterize software development and its internet-based computing, which gathers data, examines pertinent sources, and then comes to the necessary conclusions. Because cloud services provide access to data from a variety of places, both small and large enterprises choose them for data storage and daily access.
Artificial Intelligence (AI)
Artificial intelligence (AI) is without a doubt progressing swiftly. Even while AI is still developing, it has already had a big influence on many different businesses. As AI technology develops, many new potential applications continue to materialize.
One of the most popular programming languages, Java, is perfect for creating robust AI ecosystems. As a result of its mobility and platform independence, it is the greatest choice for creating programs that can be used with any device. Furthermore, Java’s object-oriented design makes it simple to create sophisticated algorithms. Java offers developers everything they need to create robust new technologies and AI applications thanks to its vast ecosystem of libraries and tools.
Conclusion
A company’s expansion does not occur in a vacuum. You must promote change by looking into fresh ideas and bringing issues to the company.
Introduce the most recent Java technology and trends to your team regularly in a Java-oriented development environment as one approach to do this.Java is a solid and flexible language with a lot to offer. You just need to use the tools in order to make effective use of it.
