July 26, 2023

Power BI “Live Connection” on Databricks, Snowflake and BigQuery

At AtScale, we’ve had a long history of partnership and co-innovation with Microsoft, having been the first semantic layer platform to introduce native support for Microsoft’s Data Analysis Expressions (DAX) query language. Native DAX support lets Power BI users connect…

Posted by: Kieran O’Driscoll

July 13, 2023

The 6 Principles of Modern Data Architecture

One of my favorite parts of my job at AtScale is spending time with customers and prospects. More specifically, I enjoy learning what matters most to them as they move to modern data architecture. I've noticed six main themes that…

Posted by: Dave Mariani

June 29, 2023

Preventing Semantic Sprawl in the Modern Data Analytics Stack

Data is invaluable to an organization’s decision-making, business innovation, and cross-team collaboration. With the rise of big data and cloud data warehouses, fully-realized democratization is the next step in many businesses’ data journeys. They want to enable company-wide, self-service analytics,…

Posted by: Dave Mariani

June 15, 2023

A Federated Governance Approach: Insights from Data Leaders

I hosted another round of interviews with data leaders about how they deliver AI and BI for their organizations. We discussed the combining of data fabric and data mesh, the hub-and-spoke approach, and the future of a federated model for…

Posted by: Dave Mariani

June 8, 2023

Data Storytelling and Trusted AI

Building Trustworthy Narratives Data storytelling with trusted AI facilitates an engaging but trustworthy narrative. It makes sense of complex data sets by communicating insights in an easy-to-understand way. However, with the increasing use of AI in data analysis, there are…

Posted by: Ravit Jain

May 10, 2023

Unlock Data-Driven Storytelling with Augmented Analytics

The AtScale semantic layer is a powerful tool to help enhance data storytelling projects to make them more effective. AtScale provides a simple, intuitive interface that allows users to access common data models. These models accurately and consistently represent business…

Posted by: Gaurav Rao

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