Looker, the data platform builder looking to expand the reach of its “horizontal” foundation, added another component this week with the integration of its tools with the beta release of Google’s cloud-based BigQuery ML.
The combination is aimed at speeding results derived from data science workflows and would allow users to act on data insights with predictive metrics. The integration also would automate some processes so data teams could create machine learning models in BigQuery using the Looker data platform tools. Among them is Looker Blocks.
Author: George Leopold