80% of a data scientist’s life is spent taking on tasks that don’t relate to data science.

Why?

Last week at ODSC’s and Synapse’s meet-up in San Francisco, Matt Baird, co-founder and CTO of AtScale caught up with bay area technology professionals for a talk on “The Power of Combining BI Analytics and Machine Learning.” Baird explained how in today’s companies it is not uncommon that your team “already has people doing descriptive analytics (BI),” and there is no need to repeat the process furthering business disruption. Who suffers? The data science team.

Baird emphasized the importance of getting into “flow,” making sure your data infrastructure supports your productivity stating that “if you have to pause because you don't know what the data means, can't get access to the data, have to figure out how to join the data from different databases, etc. you get out of flow and your productivity goes down massively.”

So, how can you work towards a solution that doesn’t disrupt your business operations?

Cue virtualization.

Baird states, “Virtualization hides the complexity of data engineering and data operations so you can focus on the fun stuff - the science!”

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