May 5, 2023

How Data Scientists Should Leverage BI Infrastructure

This blog is part of a series from Tobias Zwingmann, Managing Partner at RAPYD.AI. RAPYD.AI lets you easily and quickly build fully-functional AI prototypes or AI MVPs powered by state of the art AI-services from Google, Amazon and Microsoft. Tobias…

Posted by: Tobias Zwingmann

April 27, 2023

How Metrics Engineering Support Business Intelligence and Data Science Programs

AtScale recently announced Python-based Metrics Engineering as a new capability supported within AI-Link. AI-Link is an extension of the AtScale semantic layer platform that leverages a robust python-based API for connecting data science notebooks and AI/ML platforms to AtScale. AI-Link…

Posted by: Gaurav Rao

April 26, 2023

High Code v. Low Code v. No Code Data Modeling

When my co-founders and I launched AtScale almost ten years ago, we set out to democratize analytics consumption for everyone, not just database experts. We were dismayed to see the new generation of visualization tools forcing their users to become…

Posted by: Dave Mariani

April 25, 2023

3 Surprising Ways NLP Changes How We Interact With Data

This blog is part of a series from Tobias Zwingmann, Managing Partner at RAPYD.AI. RAPYD.AI lets you easily and quickly build fully-functional AI prototypes or AI MVPs powered by state of the art AI-services from Google, Amazon and Microsoft. Tobias…

Posted by: Tobias Zwingmann

April 13, 2023

Actionable Data Insights for Improved Business Results

This blog was written by Dr. Prashanth Southekal, the Managing Principal of DBP Institute (www.dbp­ institute.com), a data and analytics consulting, research, and education firm. He is a Consultant, Author, and Professor.  Author’s Note: This is an update to the…

Posted by: Prashanth Southekal, PhD, MBA

April 11, 2023

Empowering FinOps With a Semantic Layer

I confess. I had heard the term FinOps batted around for the past few years, but I hadn’t really absorbed its significance.  I started paying more attention after reading some research from Gartner Analyst Adam Ronthal. I was able to…

Posted by: Josh Epstein

April 7, 2023

Using a Semantic Layer to Replace SSAS and SSAS Cubes

AtScale connects to data where it lies. Whether it’s stored in a data lake like Hadoop or a cloud data warehouse like Snowflake, the data stays where it is. There is no pre-compute, data aggregation, or extracts, which means you…

Posted by: Arthur Lindow

April 3, 2023

Three Data Analytics Strategies from the 2023 Gartner Summit

I was recently at the Gartner Data and Analytics Summit in Orlando. As a product leader, it was a great opportunity to meet with many chief data and analytics officers. I also had the privilege of chatting with many data…

Posted by: Elif Tutuk

February 28, 2023

How a Semantic Layer Supports Data Storytelling Projects

Data storytelling is the process of using data to tell a story and make it more accessible and understandable to a wide audience. Visualizing data and using narrative techniques are important elements of data storytelling. A semantic layer can quickly…

Posted by: Ravit Jain

May 5, 2023

How Data Scientists Should Leverage BI Infrastructure

This blog is part of a series from Tobias Zwingmann, Managing Partner at RAPYD.AI. RAPYD.AI lets you easily and quickly build fully-functional AI prototypes or AI MVPs powered by state of the art AI-services from Google, Amazon and Microsoft. Tobias…

Posted by: Tobias Zwingmann

April 27, 2023

How Metrics Engineering Support Business Intelligence and Data Science Programs

AtScale recently announced Python-based Metrics Engineering as a new capability supported within AI-Link. AI-Link is an extension of the AtScale semantic layer platform that leverages a robust python-based API for connecting data science notebooks and AI/ML platforms to AtScale. AI-Link…

Posted by: Gaurav Rao

April 26, 2023

High Code v. Low Code v. No Code Data Modeling

When my co-founders and I launched AtScale almost ten years ago, we set out to democratize analytics consumption for everyone, not just database experts. We were dismayed to see the new generation of visualization tools forcing their users to become…

Posted by: Dave Mariani

April 25, 2023

3 Surprising Ways NLP Changes How We Interact With Data

This blog is part of a series from Tobias Zwingmann, Managing Partner at RAPYD.AI. RAPYD.AI lets you easily and quickly build fully-functional AI prototypes or AI MVPs powered by state of the art AI-services from Google, Amazon and Microsoft. Tobias…

Posted by: Tobias Zwingmann

April 13, 2023

Actionable Data Insights for Improved Business Results

This blog was written by Dr. Prashanth Southekal, the Managing Principal of DBP Institute (www.dbp­ institute.com), a data and analytics consulting, research, and education firm. He is a Consultant, Author, and Professor.  Author’s Note: This is an update to the…

Posted by: Prashanth Southekal, PhD, MBA

April 11, 2023

Empowering FinOps With a Semantic Layer

I confess. I had heard the term FinOps batted around for the past few years, but I hadn’t really absorbed its significance.  I started paying more attention after reading some research from Gartner Analyst Adam Ronthal. I was able to…

Posted by: Josh Epstein

April 7, 2023

Using a Semantic Layer to Replace SSAS and SSAS Cubes

AtScale connects to data where it lies. Whether it’s stored in a data lake like Hadoop or a cloud data warehouse like Snowflake, the data stays where it is. There is no pre-compute, data aggregation, or extracts, which means you…

Posted by: Arthur Lindow

April 3, 2023

Three Data Analytics Strategies from the 2023 Gartner Summit

I was recently at the Gartner Data and Analytics Summit in Orlando. As a product leader, it was a great opportunity to meet with many chief data and analytics officers. I also had the privilege of chatting with many data…

Posted by: Elif Tutuk

February 28, 2023

How a Semantic Layer Supports Data Storytelling Projects

Data storytelling is the process of using data to tell a story and make it more accessible and understandable to a wide audience. Visualizing data and using narrative techniques are important elements of data storytelling. A semantic layer can quickly…

Posted by: Ravit Jain