Bridging the Power of Google BigQuery to Business Intelligence and Data Science Programs
Learn how AtScale enables Google Cloud customers to build a single source of governed analytics to enable self-service business intelligence and data science programs
AtScale helps data teams build a semantic layer for data and analytics that simplifies and accelerates business intelligence and data science programs on Google BigQuery.
Self-Service, Multi-Dimensional Analytics
Deliver high-performance access to live cloud data on GBQ. Establish a single source of enterprise metrics accessible from any BI tool. Modernize legacy OLAP analytics with a full dimensional analysis engine on live data with no data extracts.
Operationalize Data Science Models
Use AtScale AI-Link to bridge Google BigQuery data to ML models and AutoML platforms. Accelerate feature engineering by expanding data sets and maintaining a governed set of time-relative measures. Publish model results back to the business for consumption in any BI tool.
AtScale’s AI-driven resource orchestration intelligently manages aggregates and data movement to deliver speed-of-thought analytics performance on massive cloud data sets while optimizing cloud resource consumption.
Accelerate dimensional analytics performance with intelligent aggregates
Optimize cloud resource consumption with automated resource orchestration
Simplify query design and eliminate time-consuming data engineering
Choose your Analysis Platform
Use the AtScale semantic layer to connect live BigQuery data to analysis tools of your choice including Power BI, Tableau, Looker, Excel, and Jupyter Notebooks.
Sign up for an interactive demo and start experiencing the power of AtScale.