Updated August 4, 2022

AtScale + Snowflake: Enable Dimensional Analysis in the Data Cloud

AtScale’s partnership with Snowflake has dramatically expanded our customers' data processing capabilities — guiding them toward analytics modernization. From delivering analysis-ready data to extending legacy tool services through dialect support, data practitioners can now deliver blazing-fast dimensional analysis to enable…

Posted by: Arthur Lindow

Updated March 24, 2022

Data Enrichment: Integrating First-Party and Third-Party Data

When it comes to effectively consuming data for business insights, there are six key areas: data, access, model, analyze, consume, and insights. AtScale’s Data and Analytics Maturity Model Workshop explains how organizations can build the skills and knowledge necessary to…

Posted by: Dave Mariani

Updated March 8, 2022

The Centralized Data Repository: Breaking Down Data Silos

When it comes to effective consumption of data for business insights, there are six key capabilities: data, access, model, analyze, consume, and insights. AtScale’s Data and Analytics Maturity Model Workshop explains how organizations can build the skills and knowledge necessary…

Posted by: Dave Mariani

Updated December 2, 2025

Developing an Enterprise Data Strategy

Many companies face challenges in developing a roadmap for data, insights, and analytics. This blog stresses how an enterprise data strategy is a critical guidepost for articulating an effective set of use cases and a clear roadmap that scales with…

Posted by: Brian Prascak

Updated July 13, 2021

How AtScale Uses Aggregates to Optimize Query Performance

The use of data aggregations (i.e. aggregates) to accelerate query performance is a common practice for data engineering teams, but the question remains how to balance resources like time and compute consumption in the aggregation process. Rather than relying on…

Posted by: Dave Mariani

Updated June 22, 2021

Analytics Query Acceleration in the Age of Cloud Data Platforms

Late last year, Gartner published their first Market Guide for Analytics Query Accelerators (available with Gartner Subscription).  They loosely define this broad set of technologies as providing “[query] optimization on top of semantically flexible data stores, typically associated with data…

Posted by: Dave Mariani

Updated April 8, 2021

How to Make Smarter Data-Driven Decisions at Scale

In our most recent webinar, four data-driven leaders from Cardinal Health, Slickdeals, bol.com and Wayfair joined us for a panel where they discussed how they are scaling smarter decision-making across their organizations and making data more accessible as a strategic…

Posted by: Kayla Chiara

Updated August 4, 2022

AtScale + Snowflake: Enable Dimensional Analysis in the Data Cloud

AtScale’s partnership with Snowflake has dramatically expanded our customers' data processing capabilities — guiding them toward analytics modernization. From delivering analysis-ready data to extending legacy tool services through dialect support, data practitioners can now deliver blazing-fast dimensional analysis to enable…

Posted by: Arthur Lindow

Updated March 24, 2022

Data Enrichment: Integrating First-Party and Third-Party Data

When it comes to effectively consuming data for business insights, there are six key areas: data, access, model, analyze, consume, and insights. AtScale’s Data and Analytics Maturity Model Workshop explains how organizations can build the skills and knowledge necessary to…

Posted by: Dave Mariani

Updated March 8, 2022

The Centralized Data Repository: Breaking Down Data Silos

When it comes to effective consumption of data for business insights, there are six key capabilities: data, access, model, analyze, consume, and insights. AtScale’s Data and Analytics Maturity Model Workshop explains how organizations can build the skills and knowledge necessary…

Posted by: Dave Mariani

Updated December 2, 2025

Developing an Enterprise Data Strategy

Many companies face challenges in developing a roadmap for data, insights, and analytics. This blog stresses how an enterprise data strategy is a critical guidepost for articulating an effective set of use cases and a clear roadmap that scales with…

Posted by: Brian Prascak

Updated July 13, 2021

How AtScale Uses Aggregates to Optimize Query Performance

The use of data aggregations (i.e. aggregates) to accelerate query performance is a common practice for data engineering teams, but the question remains how to balance resources like time and compute consumption in the aggregation process. Rather than relying on…

Posted by: Dave Mariani

Updated June 22, 2021

Analytics Query Acceleration in the Age of Cloud Data Platforms

Late last year, Gartner published their first Market Guide for Analytics Query Accelerators (available with Gartner Subscription).  They loosely define this broad set of technologies as providing “[query] optimization on top of semantically flexible data stores, typically associated with data…

Posted by: Dave Mariani

Updated April 8, 2021

How to Make Smarter Data-Driven Decisions at Scale

In our most recent webinar, four data-driven leaders from Cardinal Health, Slickdeals, bol.com and Wayfair joined us for a panel where they discussed how they are scaling smarter decision-making across their organizations and making data more accessible as a strategic…

Posted by: Kayla Chiara
Guide: How to Choose a Semantic Layer
The Ultimate Guide to Choosing a Semantic Layer