Snowflake & AtScale, A Perfect Fit
As part of its new partnership with Snowflake, AtScale has implemented features that augment Snowflake’s use of different-sized warehouses to optimize cost and compute.
Blog
Building Trust in NLQ: How to Improve Cortex Analyst Results in Snowflake
Natural 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…
Ultimate Guide to Optimizing Power BI Query Performance in Snowflake
Power BI and Snowflake are a powerhouse combo for modern business intelligence . But performance issues can creep in—especially with DirectQuery mode. If your dashboards are slow to load or your queries are hitting limits,…
The Definitive Guide to Making Snowflake Data Available in Excel
Excel continues to be the world’s most used analytics tool, with more than 750 million users globally. On the other hand, Snowflake has become a leading cloud data platform for enterprise-scale data management. Bridging these…
The Missing Link: Using Semantic Layers to Enhance Cortex Analyst Accuracy
Natural language querying (NLQ) is revolutionizing how organizations access data, with Snowflake Cortex Analyst leading the way. Business users can ask questions like “What were our top-selling products last quarter?” and receive SQL-generated answers instantly.…
SSAS vs. Snowflake: A Comparative Analysis for Modern Semantic Modeling
As organizations shift their analytics infrastructure to the cloud, many are evaluating whether to replace SQL Server Analysis Services (SSAS) with Snowflake. This analysis compares the two platforms through the lens of semantic modeling —…
SSAS Cube Migration to Snowflake: Complete Roadmap
Many organizations are moving away from legacy SQL Server Analysis Services (SSAS) toward modern, cloud-based platforms like Snowflake. But there’s a catch: SSAS isn’t just a storage engine — it’s a powerful semantic layer. Without…
How to Stop Metric Sprawl Across Power BI, Tableau, and Excel with Snowflake
In a multi-tool analytics world, one of the most persistent challenges facing data-driven organizations is metric sprawl. When business teams use different BI tools each with their own logic and metrics, the result is conflicting…
Implementing a Centralized Semantic Layer for Power BI and Tableau in Snowflake
Organizations today rely on both Power BI and Tableau to unlock insights from their Snowflake data. But without a centralized approach, things get messy—definitions drift, performance suffers, and costs climb. Despite significant investments in cloud…
What I Learned at Snowflake Summit 2025: AI Momentum, Cortex Insights, and the Truth About Semantic Views
I’ve been attending Snowflake Summits for years, and this year’s event was the most forward-looking I’ve seen. If you’re building for the future of data and AI, the 2025 Snowflake Summit felt like a line…