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Distributed Programming in Java, 莱斯大学

202 個評分
29 個審閱


This course teaches learners (industry professionals and students) the fundamental concepts of Distributed Programming in the context of Java 8. Distributed programming enables developers to use multiple nodes in a data center to increase throughput and/or reduce latency of selected applications. By the end of this course, you will 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 multithreading. Why take this course? • All data center servers are organized as collections of distributed servers, and it is important for you to also learn how to use multiple servers for increased bandwidth and reduced latency. • In addition to learning specific frameworks for distributed programming, this course will teach you how to integrate multicore and distributed parallelism in a unified approach. • Each of the four modules in the course includes an assigned mini-project that will provide you with the necessary hands-on experience to use the concepts learned in the course on your own, after the course ends. • During the course, you will have online access to the instructor and the mentors to get individualized answers to your questions posted on forums. The desired learning outcomes of this course are as follows: • Distributed map-reduce programming in Java using the Hadoop and Spark frameworks • Client-server programming using Java's Socket and Remote Method Invocation (RMI) interfaces • Message-passing programming in Java using the Message Passing Interface (MPI) • Approaches to combine distribution with multithreading, including processes and threads, distributed actors, and reactive programming Mastery of these concepts will enable you to immediately apply them in the context of distributed Java programs, and will also provide the foundation for mastering other distributed programming frameworks that you may encounter in the future (e.g., in Scala or C++)....


創建者 DH

Sep 17, 2017

Great course. The first programming assignment was challenging and well worth the time invested, I would recommend it for anyone that wants to learn parallel programming in Java.

創建者 FF

Jan 24, 2018

Excellent course! Vivek is an excellent instructor as well. I appreciate having taken the opportunity to learn from him.


28 個審閱

創建者 Eric Schraeder

Apr 07, 2019

Really great videos and instruction. The class covers a broad swath of topics, which is great but fails to get really in depth in any one topic, as a learner you will need to dive deeper into topics that grab your interest. The projects are a little easy but are well organized and self contained. Considering the difficulty in creating projects for distributed computing environments I think the instructors did a good job.

創建者 Partha Bisoi

Mar 11, 2019


創建者 updatinglb

Feb 28, 2019

concise and clear

創建者 Ganapathi Nayak K

Feb 26, 2019

Good experience

創建者 Sudharaka Palamakumbura

Jan 22, 2019

Nice course. Gives a good overview of Distributed Programming!!!

創建者 Light0617

Nov 18, 2018

very great!

創建者 Benjamin Grant Jones

Aug 13, 2018

Solidly worth the money!

The lectures and references are perfect, and the perspective is super helpful. The exercises still need work, but they still provide a good foundation for learning this material.

For the maintainers, a good model for compound assignments of graduated difficulty is the sbt-moderated grading for the scala sequence. I think you did a very good job within the (maybe self-imposed?) constraint of single file upload, but this is the only major area allowing any improvement in this excellent course!

創建者 Travis Wilson

Aug 01, 2018

Frustrating at times but overall good.


Jul 02, 2018

Good course for over view of all the concepts related to Distributed Programming.

創建者 Samuele Manfrin

May 29, 2018

Course does not go too deep in arguments, but gives a quite basic knowledge about distributed data structures and algorithms.