Updated April 21, 2022

The Semantics of the Semantic Layer

I 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…

Posted by: Dave Mariani

Updated March 29, 2022

Developing a Data Sharing Culture with a Semantic Layer

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 skills and knowledge to advance…

Posted by: Dave Mariani

Updated March 24, 2022

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 skills and knowledge necessary to…

Posted by: Dave Mariani

Updated March 17, 2022

Improving Data Quality with a Semantic Layer

The data economy is being embraced worldwide across industries because companies that are data driven show improved business performance. In fact, data has given companies such as Netflix, Facebook, Google and Uber a distinct competitive advantage. Although nearly every company…

Posted by: Prashanth Southekal, PhD, MBA

Updated March 8, 2022

The Centralized Data Repository: Breaking Down Data Silos

When it comes to effective consumption of data for business insights, there are six key capabilities: data, access, model, analyze, consume, and insights. AtScale’s Data and Analytics Maturity Model Workshop explains how organizations can build the skills and knowledge necessary…

Posted by: Dave Mariani

Updated March 1, 2022

How to Liberate Your Data [Scientists] with a Semantic Layer

Every business decision, keystroke, or mouse click is a potentially valuable data point. Most companies don't have any trouble generating and storing their data these days, and there are mature technologies that help companies break down silos to get all…

Posted by: Gaurav Rao

Updated February 22, 2022

Developing an Enterprise Data Strategy

Many companies face challenges in developing a roadmap for data, insights, and analytics. This blog stresses how an enterprise data strategy is a critical guidepost for articulating an effective set of use cases and a clear roadmap that scales with…

Posted by: Brian Prascak

Updated April 21, 2022

The Semantics of the Semantic Layer

I 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…

Posted by: Dave Mariani

Updated March 29, 2022

Developing a Data Sharing Culture with a Semantic Layer

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 skills and knowledge to advance…

Posted by: Dave Mariani

Updated March 24, 2022

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 skills and knowledge necessary to…

Posted by: Dave Mariani

Updated March 17, 2022

Improving Data Quality with a Semantic Layer

The data economy is being embraced worldwide across industries because companies that are data driven show improved business performance. In fact, data has given companies such as Netflix, Facebook, Google and Uber a distinct competitive advantage. Although nearly every company…

Posted by: Prashanth Southekal, PhD, MBA

Updated March 8, 2022

The Centralized Data Repository: Breaking Down Data Silos

When it comes to effective consumption of data for business insights, there are six key capabilities: data, access, model, analyze, consume, and insights. AtScale’s Data and Analytics Maturity Model Workshop explains how organizations can build the skills and knowledge necessary…

Posted by: Dave Mariani

Updated March 1, 2022

How to Liberate Your Data [Scientists] with a Semantic Layer

Every business decision, keystroke, or mouse click is a potentially valuable data point. Most companies don't have any trouble generating and storing their data these days, and there are mature technologies that help companies break down silos to get all…

Posted by: Gaurav Rao

Updated February 22, 2022

Developing an Enterprise Data Strategy

Many companies face challenges in developing a roadmap for data, insights, and analytics. This blog stresses how an enterprise data strategy is a critical guidepost for articulating an effective set of use cases and a clear roadmap that scales with…

Posted by: Brian Prascak
Guide: How to Choose a Semantic Layer
The Ultimate Guide to Choosing a Semantic Layer