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.
Senior Sales Engineer at 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.
Technical Sales Engineer at 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.