Distributed Programming in Java
Learn fundamental concepts of distributed programming in Java 8, from MapReduce to client-server architecture and message passing.
Learn fundamental concepts of distributed programming in Java 8, from MapReduce to client-server architecture and message passing.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Parallel, Concurrent, and Distributed Programming in Java Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Learn MapReduce programming using Hadoop and Spark frameworks
Master client-server programming with Java Sockets and RMI
Implement message-passing programs using MPI
Develop distributed systems using actor model
Understand and apply reactive programming concepts
Combine distribution with multithreading effectively
Skills you'll gain
This course includes:
3.25 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 7 modules in this course
This comprehensive course covers fundamental concepts of distributed programming in Java 8, focusing on practical implementation of distributed systems. Students learn to use multiple nodes in a data center to increase throughput and reduce latency. The curriculum includes hands-on experience with popular frameworks like Hadoop, Spark, and MPI, along with socket programming, RMI, and message passing. Through practical mini-projects and detailed demonstrations, learners develop skills in implementing distributed algorithms and understanding client-server architectures.
Welcome to the Course!
Module 1 · 1 Hours to complete
Distributed Map Reduce
Module 2 · 3 Hours to complete
Client-Server Programming
Module 3 · 3 Hours to complete
Talking to Two Sigma: Using it in the Field
Module 4 · 15 Minutes to complete
Message Passing
Module 5 · 4 Hours to complete
Combining Distribution and Multithreading
Module 6 · 4 Hours to complete
Continue Your Journey with the Specialization
Module 7 · 20 Minutes to complete
Fee Structure
Instructor
Expert in Parallel Programming and Professor at Rice University
Dr. Vivek Sarkar is a Professor of Computer Science at Rice University, where he holds the E.D. Butcher Chair in Engineering. He is renowned for his contributions to parallel, concurrent, and distributed programming, as well as for developing the Habanero Java library and programming system, which are utilized in both teaching and research. Dr. Sarkar earned his B.Tech from the Indian Institute of Technology, Kanpur, an M.S. from the University of Wisconsin-Madison, and a Ph.D. from Stanford University. Before joining Rice in 2007, he spent two decades at IBM Research, where he led projects related to parallel software and was instrumental in releasing the open-source Jikes Research Virtual Machine for Java.At Rice University, Dr. Sarkar has taught various courses on concurrent and parallel programming, including "Concurrent Programming in Java" and "Distributed Programming in Java." He has also played a pivotal role in curriculum development, creating new courses such as Fundamentals of Parallel Programming and leading the Rice Online specialization on Parallel, Concurrent, and Distributed Programming on Coursera. His extensive research work includes programming languages, compiler optimizations, and runtime systems for high-performance computing.
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4.5 course rating
489 ratings
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