As many data scientists and engineers can attest, the majority of the
time is spent not on the models themselves but on the supporting
infrastructure. Key issues include on the ability to easily visualize,
share, deploy, and schedule jobs. More disconcerting is the need for
data engineers to re-implement the models developed by data scientists
for production. With Databricks, data scientists and engineers can
simplify these....[More]
