Macaulay Parker is an Alliances Manager at AtScale, where he supports strategic global partnerships with leading technology, cloud, and data platform providers. Focused on collaboration and ecosystem growth, he drives joint go-to-market initiatives and enables partner success to accelerate adoption of AtScale’s Universal Semantic Layer.
August 12, 2025
The Definitive Guide to Making Snowflake Data Available in ExcelExcel 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 two platforms — while preserving…
August 7, 2025
The Missing Link: Using Semantic Layers to Enhance Cortex Analyst AccuracyNatural 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. But despite Cortex Analyst’s impressive…
July 25, 2025
SSAS vs. Snowflake: A Comparative Analysis for Modern Semantic ModelingAs 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 — highlighting the strengths and limitations…
July 1, 2025
SSAS Cube Migration to Snowflake: Complete RoadmapMany 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 a plan to replace that…
June 19, 2025
How to Stop Metric Sprawl Across Power BI, Tableau, and Excel with SnowflakeIn 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 numbers, duplicated effort, and a…
June 5, 2025
Implementing a Centralized Semantic Layer for Power BI and Tableau in SnowflakeOrganizations 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 data platforms, data teams still…
May 27, 2025
Why Is Power BI Slow with Snowflake? How to Fix Common Performance ProblemsIf your Power BI dashboards feel more like a waiting game than a real-time tool, you're not alone. Many teams struggle with sluggish performance when connecting Power BI to Snowflake. Dashboards that should load in seconds often take minutes. The…
April 15, 2025
Connect Excel to Snowflake Without ODBC: Smarter Alternatives for Business UsersExcel remains a go-to tool for business users who want quick, flexible access to data. But when it comes to connecting Excel to Snowflake, the traditional route — via ODBC — can be a technical nightmare. Driver installs, authentication headaches,…
April 7, 2025
Snowflake Cost Management & Control: Best Practices for Enterprise BI WorkloadsAs organizations scale their Snowflake deployments to support enterprise-level BI workloads, cost control quickly becomes a top priority. While Snowflake’s pay-per-use model is powerful, it can lead to unexpected expenses when query inefficiencies and overprovisioned compute go unchecked. Read on…
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,…
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…
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.…