What is the future of Java?
What is the future of Java?
The global community of developers is expected to increase by 28.7 million in 2024. Also, the corporate giants like Amazon, Microsoft, Google are still using java in their software development process.
Java is an object-oriented programming language. It has several versions the latest one is Java SE 15 was released on 15 September 2020.
Who invented Java?
Mike Sheridan together with James Gosling and Patrick Naughton created Java in June 1991. Their key goal is to invent a simple, Secure, and general-purpose programming language that could be run in various platforms like mobile and desktop.
The Main Features of Java
Simplicity
Java offers an easy user experience for developers as well as the end-users. Java's inbuilt design libraries are the most advanced ones when compared to the other libraries.
Portability:
Java can be run at any time and anywhere in all the hardware and software.
Allocation:
Features like stack provisioning, garbage collection, and automatic memory differentiate java way apart from other programming languages
Distribute:
Java is highly networking component. Usually, Java receives and sends files informally
Extremely Secure:
Java enforces strong security standards with safe programming language.
Why does Java remain a popular language in the future?
Java has wider applications than most of its peer languages like Asp.Net, PHP, Python etc. Here, we have compiled a list of the most popular applications of Java.
Java applications in Big Data
Java is a dominant programming language in Big data, along with Python. It is used in various frameworks for handling large-scale data.
Apache Hadoop
Hadoop is a Java-based programming framework that processes large datasets in a distributed computing environment. Hadoop runs in master-slave architecture, where the master controls the working of the entire distributed computing stack. Hadoop has become very popular among companies in storing massive data and performing analysis.
Companies using Hadoop framework: IBM, Amazon web services, Intel, etc
Apache Spark
Spark is another popular Java framework using in Big data. Spark is basically a cluster computing framework and can run on thousands of machines (distributed clusters). Spark is used in large ETL (extract, transform, and load) operation, predictive analytics, and reporting applications
Companies using Spark framework: Uber, Slack, Hubspot, Shopifyetc
Apache Mahout
Apache Mahout is a Machine Learning library and big data tool, built using Java. It is used for performing machine learning functions like classifications, clustering, and recommendations.
Companies using Apache Mahout: Adobe, Facebook, LinkedIn, Foursquare, Twitter, and Yahoo
Java JFreechart
Jfreechart is a popular open-source big data tool, used for visualization and seeing behavior of data. It helps in making different graphs and charts like Pie charts, bar charts, line charts, scatter plots, box plots, histograms, etc.
Deeplearning4j
Deeplearning4j is a Java library used in Deep Learning. It is used to build different types of neural networks for processing data. Deeplearning4j can be integrated with Apache Spark and can run on GPUs.
Companies using Deeplearning4j: JPMorgan Chase, Wells Fargo, Interactive Brokers
Apache Storm
Apache Storm is an open-source distributed real-time computational system for processing data streams. Apache storm can process millions of jobs on a node in a fraction of a second.
Examples of the storm in real-world (Source: Apache Storm website)
Twitter: Storm powers a wide variety of Twitter systems, ranging in applications from discovery, real-time analytics, rationalization, search, revenue optimization, and many more.
Groupon: Storm powers real-time data integration systems. Storm helps in analyzing, cleaning, normalize, and resolve large amounts of non-unique data points with low latency and high throughput.
Weather: Weather Channel uses several Storm topologies to ingest and persist weather data.
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