How to Natively Support OLAP Workloads (e.g. SQL Server Analysis Services) on BigQuery

You’re Invited

Experience AtScale and BigQuery together, delivering a powerful platform for OLAP analytics on GCP. Business functions that rely on OLAP analysis traditionally use technologies like SQL Server Analysis Services (SSAS) that pull data out of BigQuery in order to run queries. With AtScale, business users are able to leverage the power and elasticity of BigQuery for these business critical workloads and deliver performant, multidimensional analytics that businesses rely on for decision making.

Join Bob Kelly, AtScale’s Director of Education and Enablement, for a workshop of AtScale + BigQuery that includes a deep dive into how to build a multidimensional data model with the AtScale Design Center using BigQuery as the principal repository, and then, consume it with a number of BI tools like Excel, Looker, and Tableau.

You’ll learn how to:

• Replace OLAP architectures like SSAS to support a solution that enables blazing fast dimensional analysis by automatically creating aggregates on BigQuery
• Create a multidimensional data model built on metrics running in BigQuery
• Publish centrally governed, analysis-ready data models available to consumers via a live connection using any BI, Data Science, and ML service of our choice.
• 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 BigQuery and AtScale can deliver blazing fast self-service analysis for everyone in your organization.