Improving Data Modeling Workflow

December 4, 2014
Producing direct value for businesses via quantitative models. New analytical tools such as Looker allow data analysts to speed up the dirty work around building data models—making it less painful to clean data, explore predictive factors, and evaluate results. In this educational webinar from Data Science Central (DSC), Justin Palmer of LendingHome, a mortgage banking and marketing platform, joins Colin Zima, Chief Analytics Officer at Looker. Using a public-domain FAA dataset and the LendingHome platform as examples, they dig into the data modeling process and offer ideas for improvements. - See more at: http://try.looker.com/resources/improving-data-modeling-workflow#sthash.2rGxwhJ7.dpuf
Previous Video
Advancing SQL with Symmetric Aggregates
Advancing SQL with Symmetric Aggregates

Looker Founder and CTO Lloyd Tabb will introduce a major new component to the modeling layer that lets you ...

Next Video
Improving the Data Modeling Workflow
Improving the Data Modeling Workflow

New analytical tools such as Looker allow data analysts to speed up the dirty work around building data mod...

Explore and discover your data — start your free trial today.

Sign up now