Unravelling the Role of Distributed Systems in Big Data

[shivajikobardan]

Here are the notes in my college curriculum, which I of course understand but it doesn't make clear what is the role of distributed system in big data-:


https://dotnettutorials.net/lesson/big-data-distributed-computing-and-complexity/https://www.dummies.com/article/tec...tributed-computing-basics-for-big-data-166996
https://www.ukessays.com/essays/engineering/distributed-computing-processing-data-5529.php
These are some tutorials that try to explain this topic. But imo fail to do so. They don't really explain the need of distributed system in big data.

(I already have studied subject called distributed system.https://www.ioenotes.edu.np/ioe-syllabus/distributed-system-computer-engineering-712 this was our syllabus. I studied it really well. I still have hipster pdas of this subject to reference upon...)

 

[Future Bruno]

The role of distributed systems in big data is to enable data to be processed quickly and efficiently. Distributed computing involves breaking up a large task into smaller, more manageable tasks that can be handled by different nodes (computers, servers, etc.) in a network. By distributing the data across multiple nodes, it is possible to process large amounts of data in parallel, making the operation much faster than if it were all done on a single machine. In addition, distributed computing allows for better utilization of resources, since the same task can be completed using fewer machines. This means that distributed computing provides an efficient way to process large amounts of data, which is essential for big data applications.