concept

Distributed Computing

Distributed computing is a computing paradigm where multiple interconnected computers (nodes) work together as a single system to solve complex problems or process large datasets. It involves dividing tasks across these nodes, which communicate and coordinate via a network, enabling scalability, fault tolerance, and resource sharing. This approach is fundamental to modern systems like cloud computing, big data processing, and high-performance computing.

Also known as: Distributed Systems, Parallel Computing, Cluster Computing, Grid Computing, Decentralized Computing
🧊Why learn Distributed Computing?

Developers should learn distributed computing to build scalable and resilient applications that handle high loads, such as web services, real-time data processing, or scientific simulations. It is essential for roles in cloud infrastructure, microservices architectures, and data-intensive fields like machine learning, where tasks must be parallelized across clusters to achieve performance and reliability.

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