Blog

Updated September 26, 2023

This post is authored in partnership with Naveen Punjabi, Director of Analytics and Data Science Partnerships at Google Cloud. An original version of the post was initially published on the Google Cloud Blog.  A partnership that brings new economics and…

Updated November 3, 2022

This post was written in collaboration with Swaroop Oggu, Solutions Architect at Databricks.  Dimensional analysis is an important tool for building analytics-oriented data products (e.g. interactive dashboards) based on data assets managed in a lakehouse. Historically, dimensional analysis has been…

Updated September 20, 2022

AtScale had the opportunity to collaborate with Andrew Brust, Founder & CEO of Blue Badge Insights, to explore the history of the semantic layer concept. This post is a summary of his perspective published in a recent whitepaper, The Semantic…

Updated June 23, 2022

Despite having a billion users, Excel is not always thought of as a business intelligence (BI) tool. Yet Excel remains by far the predominant BI consumption platform in enterprise data because its formulas and functions make it a powerful tool…

Updated April 26, 2022

As organizations become more data-centric, companies are bringing in data from more sources and storing more volume. That's only added more fuel to the ongoing data cloud 'platform wars', particularly with Databricks and Snowflake.  With some exciting benchmark results recently…

Updated March 22, 2022

As customers shift their data infrastructure to cloud data platforms such as Google BigQuery, Snowflake, or Databricks, AtScale is the only provider of a semantic layer and dimensional analysis capability that accelerates performance with no need to extract data from…

Updated November 29, 2021

AtScale was conceived as an independent semantic layer for data and analytics for business intelligence users. Leading BI teams use AtScale to create enterprise metrics hubs, enabling self-serve access to a consistent source of metrics that are tied to data…

Updated November 1, 2021

Before You Break Up with OLAP While relationships can be challenging at times, they are hopefully worth the effort. When your significant other repeatedly leaves the cap off the toothpaste or leaves dirty dishes in the sink, it might drive…

Updated November 4, 2020

Where is the industry going in terms of large scale data and machine learning data? We’ve made fantastic strides over the last five-eight years, but business-centric analytics has not reduced in value. Much of the business intelligence and data science…

Updated August 18, 2020

Throughout AtScale’s history, our focus is to provide our customers with a business-friendly data interface which both abstracts away the complexity of the underlying data model and autonomously builds Acceleration Structures to optimize queries (performance and compute). As the data…