Updated March 6, 2025
Troubleshooting Snowflake Cortex Analyst: Why Your Results Aren’t AccurateGetting 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.…
Updated March 4, 2025
The Semantic Lakehouse for AI/BIKyle 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…
Updated March 4, 2025
The AtScale & Databricks partnership: A long time ago in a galaxy far, far away….AtScale and Databricks first started partnering together in early 2022. At the time, Databricks SQL was relatively new, and many of their customers were still leveraging optional presentation layers to support Business Intelligence workloads. The partnership began to gain momentum.…
Updated February 27, 2025
The Current Challenges in Big Data: Navigating the Complexities of a Data-Driven WorldIn this digital age, big data is both an opportunity and a challenge for enterprises. While the insights derived from big data can drive innovation, improve customer experiences, and streamline operations, the complexities of managing, processing, and analyzing massive datasets…
Updated February 25, 2025
Announcing the Integration of AtScale and Databricks AI/BI Genie: Redefining Natural Language Query AccuracySummary: AtScale now integrates with Databricks Genie, enabling AI-driven natural language querying (NLQ) with governed, business-defined accuracy. Genie enables business users to query data in plain language, while AtScale ensures AI-generated SQL queries align with business definitions. AtScale’s semantic layer…
Updated February 19, 2025
Announcing the Integration of AtScale and Snowflake Cortex AnalystSummary 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…
Updated February 13, 2025
Simplifying Snowflake Access for Excel Users: Implementation StrategiesDespite 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…
Updated February 11, 2025
How to Write Report-Scoped DAX Expressions Using AtScale Dimensional ModelsIn 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…
Updated February 6, 2025
The Top 5 Software Quality Metrics and How a Semantic Layer Elevates Enterprise Data and AnalyticsIn the fast-paced world of modern enterprises, software quality is the cornerstone of successful data and analytics operations. Reliable, efficient, and secure software ensures organizations can turn raw data into actionable insights, empowering decision-making and innovation. This blog explores the…
Updated January 23, 2025
Using AI for Data AnalyticsAI has become increasingly popular among online users in the past several years. With the rise of generative AI tools like ChatGPT, AI has seemingly taken over the internet. Its use cases seem nearly unlimited, ranging from content generation to…
