Category Archives for "SAS"

Data Lakes – The key to streamlining the SAS analytics pipeline

data lakes

Data lakes are the key to streamlining the SAS analytics pipeline. The volume of data industries collect has grown exponentially, but along with that growth comes several challenges, in regards to processing in the analytics pipeline. It hinders performance and slows down production cycles, in turn, hindering the rate of innovation. While SAS platforms are […]

How is SAS improving data models with ModelOps?

data models

Data models refer to a mathematical equation that describes the relationship between variables in a historical data set to estimate or classify data values. The purpose behind the model is to draw the connection between seemingly disparate datasets to predict outcomes. These models are crucial for optimising analysis because they deliver clean, usable data to […]

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