July 14, 2022
Creating a Time Series ML Model with AtScale’s AI-Link, Snowflake, and FeastExciting news hot off the press: AtScale has recently announced our support for the Feast feature store! This is part of our ongoing efforts to increase the interoperability of our platform to upstream data sources and downstream analytics tools. AtScale…
July 7, 2022
The Business Impact of Using a Semantic Layer for AI and BICompanies are in the midst of making major investments in modern cloud data and analytics platforms to improve business growth, customer loyalty, efficiency, and profitability. Questions concerning if an investment to enable data, insights, and analytics is warranted have been…
June 30, 2022
Shifting to a Dimensional Data Modeling Approach Using a Semantic LayerThere are six key areas for effectively consuming data for business insights: storing the data, having access to the data, modeling the data, analyzing it, consuming it, and generating insights from it. For organizations looking to advance in each of…
June 23, 2022
How to Use Excel for Analytics in the CloudDespite having a billion users, Excel is not always thought of as a business intelligence (BI) tool. Yet Excel remains by far the predominant BI consumption platform in enterprise data because its formulas and functions make it a powerful tool…
June 21, 2022
Rethinking Feature Stores to Better Align AI/ML to Business Impact“We are drowning in information, but starved for knowledge.” - John Naisbitt The wheels of commerce are always churning, pushing merchants to find new opportunities, answers to questions, and the next breakthrough strategy to keep growing. One can imagine the…
June 16, 2022
The Future of Metrics Tooling, Open Source and Enterprise: Insights from Transform, Cube Dev, and AtScaleI recently joined a roundtable discussion at the Metrics Store Summit with three business intelligence (BI) entrepreneurs (and good friends). We dived into our approaches in this space, the architecture of our products, the technical aspects to how different data…
June 9, 2022
The Semantics of the Semantic Layer Part 8: Data Platform IntegrationThis is the last post in this blog series, The Semantics of the Semantic Layer, where I discuss the seven core capabilities of a semantic layer. In this blog, I will dive deeper into how a semantic layer should integrate…
June 2, 2022
The Semantics of the Semantic Layer Part 7: Analytics GovernanceThis is the seventh blog in my blog series, The Semantics of the Semantic Layer, where I discuss the seven core capabilities of a semantic layer. In this blog, I will dive deeper into the analytics governance and security capabilities…
May 31, 2022
Deliver Self-Service BI at scale with the Semantic Layer + DatabricksI recently had the opportunity to sit down for a tech talk with an extraordinary guest: Franco Patano, the lead product specialist for Databricks SQL. We had a great conversation about how a semantic layer can work with the Databricks…
May 26, 2022
The Semantics of the Semantic Layer Part 6: Performance OptimizationThis is the sixth blog in my blog series, The Semantics of the Semantic Layer, where I discuss the seven core capabilities of a semantic layer. In this blog, I will dive deeper into the autonomous performance optimization capabilities that…
