Source: towardsdatascience.com
GUI’s or coding: Production vs. OperationCategory: Software, Data, artificial-intelligence
Many researchers or professionals who never thought of dealing with data and analytics found themselves in the last years diving into this expanding discipline of data science.
As our knowledge wa s never as solid about data science as it is right now, we also find ourselves clarifying our mindset to perform analytics tasks and our culture when developing data science projects.
In this regard, our final product is complex and so our tools to build our products need to be robust as well.
In this view, we can and probably still should rely on GUI’s as a mode of deployment for our models or data science pipelines.
As we crave becoming better data scientists and the field continues to grow, especially at such a high rate, it proves necessary to make room for developing a new skill and to shift our working culture from a faster production result to a robust production environment for data science.
As our knowledge wa s never as solid about data science as it is right now, we also find ourselves clarifying our mindset to perform analytics tasks and our culture when developing data science projects.
In this regard, our final product is complex and so our tools to build our products need to be robust as well.
In this view, we can and probably still should rely on GUI’s as a mode of deployment for our models or data science pipelines.
As we crave becoming better data scientists and the field continues to grow, especially at such a high rate, it proves necessary to make room for developing a new skill and to shift our working culture from a faster production result to a robust production environment for data science.
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