Updated January 25, 2022

How Top Data Leaders Align AI & BI to Business Outcomes

Many organizations still view machine learning and big data analytics through a technical prism. Business leaders know that the fundamental value proposition of these methodologies is in achieving better business outcomes.  I had the pleasure to discuss this topic with…

Posted by: Dave Mariani

Updated January 21, 2022

How A Semantic Layer simplifies Your Data Architecture

*This post was originally published by the author, Anurag Singh. You can view the original post here. Making data accessible to everyone within an organization is a challenge that most companies face. For example, data scientists generate forecasts and predictions…

Posted by: Anurag Singh

Updated November 29, 2021

How to Build a Feature Store with AtScale

AtScale was conceived as an independent semantic layer for data and analytics for business intelligence users. Leading BI teams use AtScale to create enterprise metrics hubs, enabling self-serve access to a consistent source of metrics that are tied to data…

Posted by: Josh Epstein

Updated November 1, 2021

Why You Need Next-Gen OLAP

Before You Break Up with OLAP While relationships can be challenging at times, they are hopefully worth the effort. When your significant other repeatedly leaves the cap off the toothpaste or leaves dirty dishes in the sink, it might drive…

Posted by: Dave Mariani

Updated October 28, 2021

The Universal Semantic Layer. More Important than Ever.

There’s been a lot of news lately about semantic layers. Google and Tableau announced their plans to connect Tableau to Looker’s semantic layer. It’s great to see the industry recognize the importance of the semantic layer in the new cloud…

Posted by: Dave Mariani

Updated October 12, 2021

Bridging Business Intelligence & Data Science in Snowflake

This is the first of a three part blog series discussing the power of AtScale and Snowflake to help enterprise data science teams scale and leverage the agility of a cloud based infrastructure.  We have written before about the power…

Posted by: Daniel Gray

Updated January 25, 2022

How Top Data Leaders Align AI & BI to Business Outcomes

Many organizations still view machine learning and big data analytics through a technical prism. Business leaders know that the fundamental value proposition of these methodologies is in achieving better business outcomes.  I had the pleasure to discuss this topic with…

Posted by: Dave Mariani

Updated January 21, 2022

How A Semantic Layer simplifies Your Data Architecture

*This post was originally published by the author, Anurag Singh. You can view the original post here. Making data accessible to everyone within an organization is a challenge that most companies face. For example, data scientists generate forecasts and predictions…

Posted by: Anurag Singh

Updated November 29, 2021

How to Build a Feature Store with AtScale

AtScale was conceived as an independent semantic layer for data and analytics for business intelligence users. Leading BI teams use AtScale to create enterprise metrics hubs, enabling self-serve access to a consistent source of metrics that are tied to data…

Posted by: Josh Epstein

Updated November 1, 2021

Why You Need Next-Gen OLAP

Before You Break Up with OLAP While relationships can be challenging at times, they are hopefully worth the effort. When your significant other repeatedly leaves the cap off the toothpaste or leaves dirty dishes in the sink, it might drive…

Posted by: Dave Mariani

Updated October 28, 2021

The Universal Semantic Layer. More Important than Ever.

There’s been a lot of news lately about semantic layers. Google and Tableau announced their plans to connect Tableau to Looker’s semantic layer. It’s great to see the industry recognize the importance of the semantic layer in the new cloud…

Posted by: Dave Mariani

Updated October 12, 2021

Bridging Business Intelligence & Data Science in Snowflake

This is the first of a three part blog series discussing the power of AtScale and Snowflake to help enterprise data science teams scale and leverage the agility of a cloud based infrastructure.  We have written before about the power…

Posted by: Daniel Gray
Guide: How to Choose a Semantic Layer
The Ultimate Guide to Choosing a Semantic Layer