Scalable Systems: Design, Implementation and Use of Large Scale Clusters | Distributed Systems, Big Data, Cloud Computing

Comprehensive course covering the design, implementation, and use of large-scale clusters, including Hadoop, MapReduce, and cloud computing technologies.

Introduction

This course covers the design, implementation, and use of large-scale clusters, focusing on topics such as functional programming, MapReduce, Hadoop, distributed systems architecture, and cloud computing.

Highlights

• Covers the fundamentals of distributed system design and large-scale cluster computing
• Includes hands-on experience with Hadoop and MapReduce programming
• Features guest lectures from industry experts like Jeff Dean (Google), Vint Cerf (Google), and Werner Vogels (Amazon)
• Explores a wide range of topics, including reliability, availability, consistency, virtualization, and security

Recommendation

This course is highly recommended for students interested in distributed systems, big data processing, and cloud computing. It provides a comprehensive understanding of the challenges and best practices in building and operating large-scale, scalable systems.