1. Create mobile Apps
When it comes to mobile phones, Android, which is based on Java, is the most popular. Android currently holds roughly 85% of the global market share for mobile devices. If you’re interested in designing mobile apps, almost every popular program, including productivity apps like Asana, payment apps like Venmo, and travel apps like Airbnb, has an Android version.
There’s also the gaming world, which includes everything from adventure video games to board game adaptations. Do you want to learn more about augmented reality? Pokemon Go, an augmented reality mobile game, was created in part with Java. And other famous games, such as Minecraft is available on Android; the original Minecraft was created using Java.
2. Work with large amounts of data
Do you want to work with large amounts of data? Java should be included in your resume. Java is a wonderful choice for working with data since it is fast and dependable. Apache Hadoop is a Java-based platform for processing huge data collections.
Apache Kafka is written in Java and Scala and was developed at LinkedIn for coping with enormous volumes of real-time data. Kafka is used by companies like as Paypal, the New York Times, and Pinterest. At New Relic, we also use Kafka to ingest enormous amounts of data, allowing customers to spot faults and anomalies throughout their entire application.
Elasticsearch, a strong data ingest and analysis search engine, is also written in Java. Elasticsearch is used by companies like as Uber, Slack, and Shopify.
3. Take advantage of cloud computing.
Java applications are frequently referred to as WORA (write once, run anywhere) apps, indicating that they are well-suited to decentralized, cloud-based applications. Java is ubiquitous when it comes to providing anything as a service, whether it’s software, infrastructure, or a platform. Java often powers part or all of the backend stack, whether it’s Netflix, Amazon, or Twitter. Because Java is such a great tool for working with large data, it is frequently used in cloud-based applications to collect and share data.
4. Create artificial intelligence.
Want to work on cutting-edge technology like self-driving car software? If that’s the case, it’s time to look at machine learning, which is already being employed in places like Netflix (to forecast what you’ll watch next) and Alexa and Siri (for voice recognition). Machine learning has a wide range of uses, from healing diseases to resolving world hunger.
When it comes to machine learning libraries, Java is a powerhouse, with libraries like Deep Learning for Java (DL4J) and Apache Spark’s MLib that can be utilised with Java as well as other languages like Python and R. While Python is widely regarded as the best language for machine learning, Java’s stability and performance make it a viable alternative for incorporating AI.
5. Space, the final frontier.
While we’re at it, here’s another far-fetched Java application: outer space. Java is used by the National Aeronautics and Space Administration (NASA) for a variety of purposes. WorldWind is a software development kit (SDK) that allows you to study any location on Earth from orbit. There are over 100 code examples in the WorldWind API that explain how to utilize this SDK.
For almost over two decades, Java has been a dependable pillar in space exploration. Java was first used to drive the Maestro Mars Rover Controller in 2004. Meanwhile, NASA continues to employ JMARS and JMARS for Moon as GIS (geospatial information systems) for data analysis.
6. Participate in open source projects.
Are you interested in joining the open source community, learning more about Java, or contributing to open source Java projects? 50 Top Java Projects on GitHub is a collection of the best open source Java projects. Spring, a framework for developing online applications, Elasticsearch, and RxJava, a library for working with async events using observables, are among the most popular open source projects. Also, take a look at New Relic’s open source Java projects.
