Updated May 10, 2023
Unlock Data-Driven Storytelling with Augmented AnalyticsThe 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…
Updated May 5, 2023
How Data Scientists Should Leverage BI InfrastructureThis 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…
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 April 25, 2023
3 Surprising Ways NLP Changes How We Interact With DataThis 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…
Updated April 13, 2023
Actionable Data Insights for Improved Business ResultsThis 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…
Updated April 11, 2023
Empowering FinOps With a Semantic LayerI 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…
Updated April 7, 2023
Using a Semantic Layer to Replace SSAS and SSAS CubesAtScale 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…
Updated April 3, 2023
Three Data Analytics Strategies from the 2023 Gartner SummitI 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…
Updated March 29, 2023
Benefits of Data Mesh and Why They Matter to Businesses TodayAtScale VP of Product and data mesh expert, Elif Tutuk, wrote a whitepaper on the principles and benefits of a data mesh approach. She covers what a data mesh is, how it positively impacts business performance, and which specific components…
