February 3, 2022
How to Use a Semantic Layer Platform to Make Smarter Data-Driven Decisions at ScaleAtScale’s semantic layer platform makes data more accessible and business-friendly, and bridges the gap between business intelligence (BI) and data science teams. A semantic layer presents a consistent set of business metrics for teams across your organization to enable everyone…
February 1, 2022
A Business-Oriented Semantic Layer for Your Databricks LakehouseA semantic layer strategy lays the foundation for a scalable business intelligence and enterprise AI program and complements the power of modern cloud data platforms. Key benefits include: Business metrics stay consistent across the organization. Analysts can access a broader…
January 25, 2022
How Top Data Leaders Align AI & BI to Business OutcomesMany organizations still view machine learning and big data analytics through a technical prism. Business leaders know that the fundamental value proposition of these methodologies is in achieving better business outcomes. I had the pleasure to discuss this topic with…
January 21, 2022
How A Semantic Layer simplifies Your Data Architecture*This post was originally published by the author, Anurag Singh. You can view the original post here. Making data accessible to everyone within an organization is a challenge that most companies face. For example, data scientists generate forecasts and predictions…
December 16, 2021
AtScale Supports DataRobot Core for Code-First Data ScienceAtScale partner DataRobot today announced DataRobot Core, a program including platform enhancements, resources, and community support targeting code-first data scientists. Code-first data scientists and enterprise AI developers have a specific set of needs from technology providers - requiring the flexibility…
December 14, 2021
Data Insights for Everyone — The Semantic Layer to the Rescue*Author’s Note This article was originally posted as a LinkedIn article by Kirk Borne. Kirk Borne is the Chief Science Officer at Data Prime and has been an influential globally recognized leader in the data science space for 20 years.…
November 29, 2021
How to Build a Feature Store with AtScaleAtScale was conceived as an independent semantic layer for data and analytics for business intelligence users. Leading BI teams use AtScale to create enterprise metrics hubs, enabling self-serve access to a consistent source of metrics that are tied to data…
November 3, 2021
The Art and Science of Accelerating Cloud-Scale Business Intelligence and Analytics“Speed of Thought Analytics” is a somewhat vague term that refers to the user experience of people interacting with data. Generically it can be taken to mean analytics performance that supports the navigation of data at a pace in sync…
November 1, 2021
Why You Need Next-Gen OLAPBefore You Break Up with OLAP While relationships can be challenging at times, they are hopefully worth the effort. When your significant other repeatedly leaves the cap off the toothpaste or leaves dirty dishes in the sink, it might drive…
October 28, 2021
The Universal Semantic Layer. More Important than Ever.There’s been a lot of news lately about semantic layers. Google and Tableau announced their plans to connect Tableau to Looker’s semantic layer. It’s great to see the industry recognize the importance of the semantic layer in the new cloud…
