Google Looker is a powerful visualization platform embedded in the Google cloud stack. Looker is based on its own markup language that can be used to build a semantic layer for raw data in Google BigQuery.
While Looker is an attractive solution for pure Google environments, as different data consumers connect other analytics tools (e.g. Excel) to cloud data, the value of a universal semantic layer is lost. Further, even with the powerful GBQ query infrastructure, analytics based on large raw data sets can become sluggish within Looker.
AtScale integrates with Looker with a native LookML interface. Looker dashboards issue LookML data requests against an AtScale semantic layer. AtScale optimizes query design and leverages automated performance optimization to delivery speed of thought performance while minimizing cloud resource consumption. AtScale can connect Looker to any cloud.
Key Business Benefits
AtScale lets Excel analysts take advantage of the analytic and reporting flexibility the value with live query connection to cloud data sources through a semantic layer that ensures consistency, governance, and high performance.