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.
This course is part of the Parallel, Concurrent, and Distributed Programming in Java Specialization
About this Course
Skills you will gain
- Distributed Computing
- Actor Model
- Parallel Computing
- Reactive Programming
Syllabus - What you will learn from this course
Welcome to the Course!
DISTRIBUTED MAP REDUCE
Talking to Two Sigma: Using it in the Field
COMBINING DISTRIBUTION AND MULTITHREADING
Continue Your Journey with the Specialization "Parallel, Concurrent, and Distributed Programming in Java"
- 5 stars69.31%
- 4 stars22.75%
- 3 stars5.01%
- 2 stars0.83%
- 1 star2.08%
TOP REVIEWS FROM DISTRIBUTED PROGRAMMING IN JAVA
The concepts taught were clear and precise which helped me with an ongoing project. It would have been really better if the mini-projects were a bit more complicated.
Great experience and all the lectures are really interesting and the concepts are precise and perfect.
First two courses are better. This one is quick and a little vague
It forced me to recall OpenMP and MPI. Thought it's already dead in favor to IMDG, spark, upc and so on.
Practical tasks - miniprojects - was too easy to implement. Need more complex tasks.
About the Parallel, Concurrent, and Distributed Programming in Java Specialization
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