datascaling
Datascaling refers to the process of handling and processing datasets that are too large to fit into a single machine's memory or computational capacity. This is a common challenge in big data analytics, machine learning, and scientific computing. The core idea is to distribute the data and the computational workload across multiple machines or nodes in a cluster.
There are several approaches to datascaling. One common method is horizontal scaling, which involves adding more
Techniques for datascaling include distributed file systems like Hadoop Distributed File System (HDFS) for storing large
The challenges in datascaling include managing data consistency, ensuring fault tolerance in case of machine failures,