See how Snowflake, Amazon Redshift, Microsoft Azure Synapse, and Google BigQuery perform running large-scale analytics with and without a semantic layer at scale.
Decouples the analytics consumption layer from the cloud data layer
Delivers a business-oriented model of cloud (and multi-cloud) data sources
Presents a consistent view for BI and Data Science teams to consume with tools of their choice
Manages and optimizes analytics performance on cloud data
WORKING WITH DATA-DRIVEN TEAMS
“Data and analytics leaders must adopt a semantic layer approach to their company data assets or face losing the battle for competitive advantage.”
Guido De Simoni