The virtual course "Distributed Programming in Java - Virtual Course - Coursera" is a course with different contents and offers video classes of Approx. 18 hours to complete. Explore its essential features, and click the orange button for detailed information on the Coursera e-Learning platform.
This course teaches students (industry professionals and students) the fundamental concepts of distributed programming in the context of Java 8. Distributed programming allows developers to use multiple nodes in a data center to increase performance and/or reduce latency of selected applications. By the end of this course, you'll learn how to use popular distributed programming frameworks for Java programs, including Hadoop, Spark, Sockets, Remote Method Invocation (RMI), Multicast Sockets, Kafka, Message Passing Interface (MPI), as well as different approaches to combine distribution with multi-threading. Why take this course? • All servers in the data center are organized as distributed server farms, and it is important that you also learn how to use multiple servers to increase bandwidth and reduce latency. • In addition to learning specific frameworks for distributed programming, this course will teach you how to integrate multicore and distributed parallelism into a unified approach. • Each of the four course modules includes an assigned mini-project that will give you the hands-on experience you need to use the concepts learned in the course on your own after the course is complete. • During the course, you will have online access to the instructor and mentors to get individualized answers to your questions posted on the forums. The desired learning outcomes of this course are as follows: • Java distributed map reduction programming using the Hadoop and Spark frameworks • Client-server programming using Java'
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