BigDataFr recommends: Data Science Platform: What is it? Why is it Important?

As more companies recognize the need for a data science platform, more vendors are claiming they have one. Increasingly, we see companies describing their product as a “data science platform” without describing the features that make platforms so valuable. So we wanted to share our vision for the core capabilities a platform should have in order for it to be valuable to data science teams.

A framework: the data science lifecycle

We see “the data science lifecycle” spanning three phases. Each phase has distinct demands that motivate capabilities for a data science platform:

– Ideation and exploration
– Experimentation & model development
– Operationalization / deployment

To some degree, all data science projects go through these phases. […]

Read more
By Nick Elprin
Source: blog.dominodatalab.com