A Need For Speed: Loading Data via the Cloud
The value of the effective use of data is universally accepted, and analytical analysis methods such as machine learning make it possible to quickly and automatically produce models that can analyze bigger, more complex data and deliver faster, more accurate results. However, before any such value can be realized, the data must be collected, moved, cleansed, transformed, and stored as efficiently and quickly as possible. SAS® Viya(r) not only addresses complex analytical challenges but can also be used to speed up data management processes. In this paper, we look at cloud infrastructure, code enhancements, and storage technologies that help you achieve this goal.
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