on-demand TECH TALK

How AtScale + Snowflake enable dimensional analysis in the Data Cloud

Rob Saenz
Senior Sales Engineer
Arthur Lindow
Technical Sales Engineer

Watch this Tech Talk to learn how the combination of AtScale’s Semantic Layer and Snowflake eliminates data marts like SSAS for native dimensional analysis in the Data Cloud without extracts or pre-aggregation of data.

Now available on-demand!

AtScale and Snowflake have been working together for years to enable customers the ability to model and provide a semantic layer over data in Snowflake for dimensional analysis. 

In this session, we will provide an overview of how to use AtScale + Snowflake to eliminate data marts like Microsoft SQL Server Analysis Services OLAP cubes and run those workloads natively in the Data Cloud.

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In this Tech Talk

You will learn about using:

  • Migrating legacy “cube” architectures like SSAS to the Snowflake Data Cloud
  • Extending Snowflake support for native and dimensional interfaces like DAX (Power BI) and MDX (Microsoft Excel)
  • Accelerating end-to-end query performance while pushing down compute to Snowflake.
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Who should watch

BI and Data leaders and practitioners (e.g., Chief Data Officers, data scientists, data engineers, and analytics professionals) who want to better understand how Snowflake’s Data Cloud and AtScale’s Semantic Layer can deliver blazing-fast dimensional analysis.

WATCH NOW

Speakers
Rob Saenz
Senior Sales Engineer
Snowflake

Rob has a couple of decades of data experience, working on the business and technical sides with companies like AT&T, Interstate Batteries, MicroStrategy and now Snowflake, where he now serves as a Senior Sales Engineer. He lives in Texas (supporting OK, AR, Southern KS and MO) with his wife, seven kids and one dog

Arthur Lindow
Technical Sales Engineer
AtScale

Arthur is data professional with nearly two decades of experience with a specialized focus in the processes of converting, migrating, storing, analyzing, and reporting on Big Data. For the past 10+ years, he has extensive experience with relational database design and modeling, stored procedures, user-defined functions, and views working with large Enterprises clients. Arthur is an expert with visualization tools and database design for Business Intelligence including the entire Microsoft BI suite (SQL, SSIS, SSAS, SSRS, SRS), Tableau, and ER Studio Suite, Qlik, Looker, PowerBI as well as modeling data stores for Redshift, Snowflake, Google BigQuery, and Databricks.