Chevron Left
Retour à Distributed Programming in Java

Avis et commentaires pour d'étudiants pour Distributed Programming in Java par Université de Rice

4.6
étoiles
454 évaluations
72 avis

À propos du cours

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++)....

Meilleurs avis

DH
16 sept. 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.

AM
30 mai 2020

Very well structured and presented course! Very useful material with good relevant examples! Thank you, Prof. Sarkar for this Distributed Programming in Java course!

Filtrer par :

26 - 50 sur 72 Avis pour Distributed Programming in Java

par Emilian S

4 oct. 2020

Very helpful and interesting course. Keep up the good work!

par Prathamesh B

28 nov. 2020

Brilliant course. Prof Sarkar is wonderful as always.

par Amr H G

25 nov. 2019

Amazing course to learn about distributed Progrmaming

par marcos h b p

5 oct. 2019

It was awsome, I could learn a lot, thks Professor

par Ian M

4 oct. 2020

Avery good course to take on coursera

par Stephen A T

20 nov. 2020

learning-friendly and oriented

par Qiuxiang D

13 sept. 2017

This is a great course for me.

par Ana E R G

9 mai 2020

El instructor muy profesional

par Nitesh J 1

27 avr. 2021

This course is very helpful.

par John O O

14 août 2019

Awesome material! :-D

par gopika

10 avr. 2020

Had a great learning

par Hugo J

21 mai 2019

Great professor !

par updatinglb

28 févr. 2019

concise and clear

par CARLOS J G R

19 avr. 2021

Excelente curso

par Ganapathi N K

26 févr. 2019

Good experience

par Shubham P 1

29 avr. 2020

hard but good

par Apekshit K

31 juil. 2020

great course

par Serdar S

1 mai 2020

Thanks a lot

par Light0617

18 nov. 2018

very great!

par vaibhav j

27 sept. 2017

Excellent

par Rubimalya

10 avr. 2020

good !

par Partha B

11 mars 2019

thanks

par DaeMyung K

12 mars 2018

Thanks

par Donghao F

13 sept. 2017

thanks

par RACHNA

2 avr. 2020

good