June 2, 2022

The Semantics of the Semantic Layer Part 7: Analytics Governance

This 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…

Posted by: Dave Mariani

May 31, 2022

Deliver Self-Service BI at scale with the Semantic Layer + Databricks

I 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…

Posted by: Dave Mariani

May 26, 2022

The Semantics of the Semantic Layer Part 6: Performance Optimization

This 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…

Posted by: Dave Mariani

May 19, 2022

The Semantics of the Semantic Layer Part 5: The Calculation Engine

This 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…

Posted by: Dave Mariani

May 17, 2022

The softer side of enterprise analytics: Culture, Org Design, Process Management

Many companies pursuing a path to data-driven decision-making  – accelerated through data democratization – struggle with how to define and support the core people, roles, and competencies involved with data (data creators, enablers, and consumers).  In many cases, the path…

Posted by: Brian Prascak

May 12, 2022

The Semantics of the Semantic Layer Part 4: Data Preparation

This 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…

Posted by: Dave Mariani

May 10, 2022

Accelerate Data Science and AutoML with a Semantic Layer

At 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…

Posted by: Dave Mariani

May 3, 2022

Performant Power BI Analysis on Snowflake with AtScale

We've learned a lot working together with top technologists & strategists like Arun Ulag for Power BI (the leading BI tool) and Michael Gregory & Simon Field for Snowflake (the most popular data warehouse).  In this blog post, we’ll recap…

Posted by: Daniel Gray

June 2, 2022

The Semantics of the Semantic Layer Part 7: Analytics Governance

This 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…

Posted by: Dave Mariani

May 31, 2022

Deliver Self-Service BI at scale with the Semantic Layer + Databricks

I 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…

Posted by: Dave Mariani

May 26, 2022

The Semantics of the Semantic Layer Part 6: Performance Optimization

This 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…

Posted by: Dave Mariani

May 19, 2022

The Semantics of the Semantic Layer Part 5: The Calculation Engine

This 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…

Posted by: Dave Mariani

May 17, 2022

The softer side of enterprise analytics: Culture, Org Design, Process Management

Many companies pursuing a path to data-driven decision-making  – accelerated through data democratization – struggle with how to define and support the core people, roles, and competencies involved with data (data creators, enablers, and consumers).  In many cases, the path…

Posted by: Brian Prascak

May 12, 2022

The Semantics of the Semantic Layer Part 4: Data Preparation

This 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…

Posted by: Dave Mariani

May 10, 2022

Accelerate Data Science and AutoML with a Semantic Layer

At 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…

Posted by: Dave Mariani

May 3, 2022

Performant Power BI Analysis on Snowflake with AtScale

We've learned a lot working together with top technologists & strategists like Arun Ulag for Power BI (the leading BI tool) and Michael Gregory & Simon Field for Snowflake (the most popular data warehouse).  In this blog post, we’ll recap…

Posted by: Daniel Gray