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.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Parallel, Concurrent, and Distributed Programming in Java
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- Distributed Computing
- Actor Model
- Parallel Computing
- Reactive Programming
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Welcome to the Course!
DISTRIBUTED MAP REDUCE
CLIENT-SERVER PROGRAMMING
Talking to Two Sigma: Using it in the Field
MESSAGE PASSING
COMBINING DISTRIBUTION AND MULTITHREADING
Continue Your Journey with the Specialization "Parallel, Concurrent, and Distributed Programming in Java"
Bewertungen
- 5 stars69,24 %
- 4 stars22,80 %
- 3 stars5,02 %
- 2 stars0,83 %
- 1 star2,09 %
Top-Bewertungen von DISTRIBUTED PROGRAMMING IN JAVA
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.
thanks to coursera platform,to learn new way to solving distributed problem in java
Great lectures. I really learned a lot about distributed computing.
Great experience and all the lectures are really interesting and the concepts are precise and perfect.
Über den Spezialisierung Parallel, Concurrent, and Distributed Programming in Java

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