Updated November 28, 2023
Empowering Excel Data Analysis with AtScale: Part 1 – The ScenarioDave Langer founded Dave on Data, where he delivers training designed for any professional to develop data analysis skills. Over the years, Dave has trained thousands of professionals. Previously, Dave delivered insights that drove business strategy at Schedulicity, Data Science…
Updated October 12, 2023
Analytics Mesh: The LEGO Bricks of Data ProductsComposable Semantic Objects accelerate the creation of new data products I have been a LEGO fan since I was a kid. It's not just because the colorful blocks are fun to play with, but because they inspired my creativity, enabling…
Updated September 20, 2023
Bridging the Gap: PowerBI on DatabricksAtScale has a strong history of collaboration and innovation with Microsoft, and was the first semantic layer platform to introduce native support for Microsoft’s Data Analysis Expressions (DAX) query language. This support lets Power BI users connect to AtScale in…
Updated September 20, 2023
Bridging the Gap: PowerBI on SnowflakeAtScale has a strong history of collaboration and innovation with Microsoft, and was the first semantic layer platform to introduce native support for Microsoft’s Data Analysis Expressions (DAX) query language. This support lets Power BI users connect to AtScale in…
Updated July 26, 2023
Power BI “Live Connection” on Databricks, Snowflake and BigQueryAt 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…
Updated April 27, 2023
How Metrics Engineering Support Business Intelligence and Data Science ProgramsAtScale 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…
Updated April 26, 2023
High Code v. Low Code v. No Code Data ModelingWhen 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…
Updated September 15, 2022
Now Available: AI-Link Lab EnvironmentAt AtScale, we believe in applying data to solve key challenges in the modern data stack for the enterprise. Bringing together key data personas to align on objectives, data, and definitions is crucial for the successful deployment of analytics and…
Updated July 14, 2022
Creating a Time Series ML Model with AtScale’s AI-Link, Snowflake, and FeastExciting news hot off the press: AtScale has recently announced our support for the Feast feature store! This is part of our ongoing efforts to increase the interoperability of our platform to upstream data sources and downstream analytics tools. AtScale…
Updated May 31, 2022
Deliver Self-Service BI at scale with the Semantic Layer + DatabricksI recently had the opportunity to sit down for a tech talk with an extraordinary guest: Franco Patano, the lead product specialist for Databricks SQL. We had a great conversation about how a semantic layer can work with the Databricks…
Updated March 31, 2022
Scaling Self-Service Analytics: Actionable Insights Series Part ICurated advice from 50+ data leaders, industry experts & customers Over the last 12 months, we've hosted 18 webinars with 50+ industry experts, data leaders, and customers reaching an audience of 25K+ data and analytics community members/professionals. I've decided…
Updated February 15, 2022
Accelerate Your Path to Self-Service Data AccessMany companies struggle with making data available quickly and structured in a way to enable the generation of actionable insights, particularly using a self-service delivery model. As the amount of data available via modern data platforms and sources continues to…
