See the power of combining AtScale’s Semantic Layer with Databricks Lakehouse for blazing fast self-service analytics at Enterprise-scale.
Want to experience AtScale’s Semantic Layer and Databricks Lakehouse being used for blazing fast, large-scale analytics? See how quickly you can easily build a business-oriented view of data that forms a “ Diamond Layer” on a Databricks Lakehouse for high performance, self-service analytics at enterprise-scale.
Join AtScale CTO and Founder, Dave Mariani and Bob Kelly, AtScale’s Director of Education and Enablement, for a demo of AtScale + Databricks, followed by a deep-dive workshop to build a new semantic model with the AtScale Design Center using Databricks SQL as the principal repository and then how you can consume it with a number of BI tools like Excel, Tableau, and Power BI.
You’ll learn how to:
- Create a multidimensional semantic model pulling in whatever metrics are needed from your entire Databricks SQL datastore.
- Make metrics analysis-ready and available to consumers with live queries using any BI, Data Science, and ML services of our choice.
- Replace legacy “Cube” architectures like SSAS to support a solution that enables blazing fast dimensional analysis by creating aggregates on Databricks.
- Extend tooling support through dialect support for DAX, MDX, Python, and SQL
Who should sign up?
AI, BI, and Data practitioners (e.g., data and analytics leaders, data scientists, data analysts, data engineers, data architects and business intelligence professionals) who want to better understand how Databricks’s Lake House and AtScale’s Semantic Layer can deliver blazing fast self-service analysis for everyone in your organization.
Chief Technology Officer, Founder, AtScale
Dave is the founder of AtScale and is the Chief Technology Officer. Prior to AtScale, he ran engineering and data at Klout and Yahoo! where he built the world’s largest multi-dimensional cube.