Dave is the founder of AtScale and is the Chief Technology Officer. Prior to AtScale, he was VP of Engineering at Klout & at Yahoo! where he built the world’s largest multi-dimensional cube for BI on Hadoop. Mariani is a Big Data visionary & serial entrepreneur.
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 28, 2022
Improving Data Analytics: Key Insights from Fifth Third Bank, Stanley Black and Decker, and Snap Inc.I hosted another round of interviews last week with data leaders about generating actionable insights and improving data analytics. We discussed the importance of building a data-driven culture, measuring the success of data analytics initiatives, and how to overcome the…
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 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…
May 19, 2022
The Semantics of the Semantic Layer Part 5: The Calculation EngineThis is the fifth blog in my 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 multidimensional calculation engine that serves as…
May 12, 2022
The Semantics of the Semantic Layer Part 4: Data PreparationThis is the fourth blog in my blog series, The Semantics of the Semantic Layer, where I describe the seven core capabilities of a semantic layer. In this blog, I will dive deeper into the virtualized data preparation that makes…
May 10, 2022
Accelerate Data Science and AutoML with a Semantic LayerAt AtScale, we love talking to data and analytics technologists and hearing their stories. We recently hosted a tech talk (presentation and demo) with Ben Taylor, Chief AI Evangelist at DataRobot, about how AtScale and DataRobot can help align AI…
May 5, 2022
The Semantics of the Semantic Layer Part 3: The Semantic Data ModelThis is the third blog in my blog series, The Semantics of the Semantic Layer, where I describe the seven core capabilities of a semantic layer. In this blog, I will dive deeper into the semantic data model that serves…