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How a Semantic Engine Reduces AI Query Costs Without Sacrificing Performance
Real-time AI analytics feels like the future: instant insights, natural conversation, decisions without delay. But behind the scenes, that future comes with a big catch: every AI query costs money, and those costs compound fast.…
Why Is Power BI Slow with Snowflake? How to Fix Common Performance Problems
If 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…
Evaluating a Semantic Layer: How Technical Teams Drive ROI Through Smart Data Infrastructure
Picking Up From Part 1: Why Technical Evaluation Matters After realizing a semantic layer could solve PrecisionWorks’ biggest data headaches, Alex, a data engineer, moves on to a critical step: evaluating vendors. (Missed the beginning?…
How a Typical Power BI Customer Can Save Millions in Annual Costs
The Rising Cost Challenge for Power BI Customers Organizations across industries rely on Power BI to drive business intelligence and inform strategic decisions. However, as data volumes increase, so do the associated costs. Businesses often…
Breaking Data Silos with Cross-Cloud Federation and Semantic Layers: Key Takeaways from the TDWI Expert Panel
A cross-cloud semantic layer gives you one consistent, governed view of your data no matter which cloud warehouses or lakehouses it lives in, so you don’t have to duplicate metrics logic across Snowflake, Databricks, BigQuery,…
Cloud Cost Optimization: Strategies to Reduce Costs & Maximize Efficiency
Learn how AtScale enables enterprises to optimize cloud costs and increase query performance on any cloud environment.
AtScale + Snowflake: Enable Dimensional Analysis in the Data Cloud
AtScale’s partnership with Snowflake has dramatically expanded our customers’ data processing capabilities — guiding them toward analytics modernization. From delivering analysis-ready data to extending legacy tool services through dialect support, data practitioners can now deliver…
Creating & Fostering a Data-Driven Culture: Lessons from Kolibri Games, Direct Supply, BetMGM, and PayPal
During another round of interviews with data leaders, I spoke with several industry experts about creating and fostering a data-driven culture. We discussed different data architectures, the gap between data produced and data consumed, data…
Data Enrichment: Integrating First-Party and Third-Party Data
When it comes to effectively consuming data for business insights, there are six key areas: data, access, model, analyze, consume, and insights. AtScale’s Data and Analytics Maturity Model Workshop explains how organizations can build the…
Replace Your SSAS Capability in the Cloud with Modernized Analytics
As customers shift their data infrastructure to cloud data platforms such as Google BigQuery , Snowflake , or Databricks , AtScale is the only provider of a semantic layer and dimensional analysis capability that accelerates…