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 September 30, 2021
How to Connect AtScale to Excel to Directly Analyze Large Cloud Data SetsLast week, AtScale announced new Excel integrations and we blogged about the ability to use Excel as a powerful business intelligence platform. In this post, we will cover the basics of using AtScale to connect Excel to a cloud data…
Updated September 28, 2021
Reducing Query Complexity with MDX and AtScaleIn the previous blog in this series on Excel + AtScale, we demonstrated how to connect Amazon Redshift to an Excel Pivot-Table. AtScale is able to leverage Microsoft’s MultiDimensional eXpressions (MDX) protocol to natively deliver a dimensional analysis experience to…
