March 10, 2025

Data Intelligence Week: Unlocking AI & BI with AtScale + Databricks

AtScale and Databricks first partnered in early 2022. At the time, Databricks SQL was still gaining traction, and many enterprises relied on various presentation layers for analytics. Our mission was clear: to enable organizations to modernize their analytics stack by…

Posted by: Kieran O’Driscoll

March 6, 2025

Troubleshooting Snowflake Cortex Analyst: Why Your Results Aren’t Accurate

Getting inconsistent or inaccurate results from Snowflake Cortex Analyst? You’re not alone. While Cortex Analyst’s text-to-SQL engine often boasts over 90% accuracy, real-world use cases frequently expose gaps in precision, context, and consistency. The culprit — a missing semantic layer.…

Posted by: Macaulay Parker

March 4, 2025

The Semantic Lakehouse for AI/BI

Kyle Hale, Lead Product Architect with Databricks, coined the term "Semantic Lakehouse" in a 2022 blog. The blog explained how to extend the Lakehouse offering to users at the “top of the stack” leveraging PowerBI. The following year, in a…

Posted by: Kieran O’Driscoll

February 19, 2025

Announcing the Integration of AtScale and Snowflake Cortex Analyst

Summary AtScale and Snowflake Cortex Analyst have joined forces to enable AI-driven natural language querying (NLQ) on governed semantic models. This integration ensures accurate, consistent SQL generation, aligning AI-driven queries with business definitions. AtScale acts as the governance layer, optimizing…

Posted by: Jeff Curran

February 13, 2025

Simplifying Snowflake Access for Excel Users: Implementation Strategies

Despite heavy investment in Snowflake’s modern data platform, many organizations still struggle to give Excel users smooth, efficient access to that data. The result? Data extracts, stale numbers, and inconsistent reporting across the enterprise. This guide outlines innovative implementation strategies…

Posted by: Macaulay Parker

February 11, 2025

How to Write Report-Scoped DAX Expressions Using AtScale Dimensional Models

In my last post, I demonstrated the many advantages of using AtScale Models to power your Business Intelligence workloads, including human-friendly SML syntax, Git integration, multi-tool support, zero-extract Live Connections, and proven BI Modeling capabilities. In this post, I'll demonstrate…

Posted by: Daren Drummond

March 10, 2025

Data Intelligence Week: Unlocking AI & BI with AtScale + Databricks

AtScale and Databricks first partnered in early 2022. At the time, Databricks SQL was still gaining traction, and many enterprises relied on various presentation layers for analytics. Our mission was clear: to enable organizations to modernize their analytics stack by…

Posted by: Kieran O’Driscoll

March 6, 2025

Troubleshooting Snowflake Cortex Analyst: Why Your Results Aren’t Accurate

Getting inconsistent or inaccurate results from Snowflake Cortex Analyst? You’re not alone. While Cortex Analyst’s text-to-SQL engine often boasts over 90% accuracy, real-world use cases frequently expose gaps in precision, context, and consistency. The culprit — a missing semantic layer.…

Posted by: Macaulay Parker

March 4, 2025

The Semantic Lakehouse for AI/BI

Kyle Hale, Lead Product Architect with Databricks, coined the term "Semantic Lakehouse" in a 2022 blog. The blog explained how to extend the Lakehouse offering to users at the “top of the stack” leveraging PowerBI. The following year, in a…

Posted by: Kieran O’Driscoll

February 19, 2025

Announcing the Integration of AtScale and Snowflake Cortex Analyst

Summary AtScale and Snowflake Cortex Analyst have joined forces to enable AI-driven natural language querying (NLQ) on governed semantic models. This integration ensures accurate, consistent SQL generation, aligning AI-driven queries with business definitions. AtScale acts as the governance layer, optimizing…

Posted by: Jeff Curran

February 13, 2025

Simplifying Snowflake Access for Excel Users: Implementation Strategies

Despite heavy investment in Snowflake’s modern data platform, many organizations still struggle to give Excel users smooth, efficient access to that data. The result? Data extracts, stale numbers, and inconsistent reporting across the enterprise. This guide outlines innovative implementation strategies…

Posted by: Macaulay Parker

February 11, 2025

How to Write Report-Scoped DAX Expressions Using AtScale Dimensional Models

In my last post, I demonstrated the many advantages of using AtScale Models to power your Business Intelligence workloads, including human-friendly SML syntax, Git integration, multi-tool support, zero-extract Live Connections, and proven BI Modeling capabilities. In this post, I'll demonstrate…

Posted by: Daren Drummond