Map Reduce | Cloud and Distributed Computing | SNS Institutions
Автор: Kanchana. M
Загружено: 2025-12-17
Просмотров: 7
In this video, I discuss why MapReduce is needed in cloud and big data environments. The lecture explains the difficulties of processing very large datasets using traditional single-machine systems and why these methods fail when data size increases.
The video introduces how MapReduce solves these problems by enabling distributed and parallel processing, along with benefits such as scalability, fault tolerance, and efficiency. This session helps students build a strong foundation for understanding big data frameworks and cloud computing concepts.
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