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 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…
April 28, 2022
The Semantics of the Semantic Layer Part 2: Data for EveryoneIn my first blog of this series, The Semantics of the Semantic Layer, I laid out the seven core capabilities of a semantic layer. In this blog, I will dive deeper into how a semantic layer connects data to people,…
April 26, 2022
How to Scale SSAS-Style Analytics with Databricks + AtScaleAs organizations become more data-centric, companies are bringing in data from more sources and storing more volume. That's only added more fuel to the ongoing data cloud 'platform wars', particularly with Databricks and Snowflake. With some exciting benchmark results recently…
April 21, 2022
The Semantics of the Semantic LayerI co-founded AtScale to focus on the challenges of supporting a large number of data analysts working on disparate sets of data managed in a massive lake. We borrowed the term “semantic layer” from the folks at Business Objects who…
April 19, 2022
Combining Data Integration Styles for Improved Data AccessibilityThere are six key areas for effectively consuming data for business insights: data, access, model, analyze, consume, and insights. For organizations looking to advance in each of these areas, AtScale’s Data and Analytics Maturity Model Workshop explains how teams can…