Updated March 31, 2025
Building Trust in NLQ: How to Improve Cortex Analyst Results in SnowflakeNatural language querying (NLQ) has the potential to make data accessible to everyone — not just analysts and data engineers. But in practice, tools like Snowflake Cortex Analyst often deliver inconsistent or inaccurate results. That inconsistency erodes trust, slows adoption,…
Updated March 13, 2025
Excel + Snowflake: How AtScale Helps Bridge the Gap Between Data Warehouse and Spreadsheet AnalysisDespite heavy investments in Snowflake's modern data platform, many business users still default to Excel for day-to-day analysis. The result? Stale extracts, inconsistent KPIs, and a frustrating disconnect between centralized data and the tools people actually use. The AtScale semantic…
Updated March 10, 2025
Data Intelligence Week: Unlocking AI & BI with AtScale + DatabricksAtScale 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…
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 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 January 16, 2025
Open-Source Semantic Layer: Crucial for the Future of AI and BIThe fields of Artificial Intelligence (AI) and Business Intelligence (BI) are undergoing rapid transformation, driven by advancements in machine learning, large language models (LLMs), and data democratization. Amid this evolution, open-source semantics are emerging as a cornerstone for bridging the…
