Author: Victoria Moody
Back in the mid-2000s, the open-source ‘data lake’ emerged. Structured and unstructured data could flow in, promising innovative and unlimited insights. Today data science, machine learning, and algorithmic approaches to data intensive research have become a cornerstone of research. It is a complex space, and research is increasingly dependent on infrastructure to manage these ever-growing volumes and increasing diversity of data.
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