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

December 16, 2021

AtScale Supports DataRobot Core for Code-First Data Science

AtScale partner DataRobot today announced DataRobot Core, a program including platform enhancements, resources, and community support targeting code-first data scientists. Code-first data scientists and enterprise AI developers have a specific set of needs from technology providers - requiring the flexibility…

Posted by: AtScale

December 14, 2021

Data Insights for Everyone — The Semantic Layer to the Rescue

*Author’s Note This article was originally posted as a LinkedIn article by Kirk Borne. Kirk Borne is the Chief Science Officer at Data Prime and has been an influential globally recognized leader in the data science space for 20 years.…

Posted by: Kirk Borne

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

November 2, 2021

What is a Universal Semantic Layer? Why Would You Want One?

I am a software engineer and I like abstractions. I like abstractions because done correctly an abstraction will factor complexity down to a level where I don’t have to spend any brain cycles thinking about it. Abstraction lets me work…

Posted by: Dave Mariani

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

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

October 20, 2021

AtScale + Excel: Working with Blended Data Sets

AtScale’s semantic layer weaves together multiple data sources into a single view of analysis-ready data that can be easily accessed and reliably used by analysts and data scientists for any number of use cases. AtScale’s no-code data modeling utility allows…

Posted by: Mario Mathiss

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