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 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…
September 22, 2021
How a Semantic Layer Turns Excel into a Sophisticated BI PlatformMicrosoft Excel has been the workhorse analytics tool for generations of business analysts, financial modelers, and data hacks. It delivers the ultimate flexibility to manipulate data, create new metrics with cell calculations, build live visualizations and slice and dice data.…
September 14, 2021
Building Time Series Analysis on Snowflake with a Semantic LayerIn a recent post, we discussed how a semantic layer helps scale data science and enterprise AI programs. With massive adoption of Snowflake’s cloud data platform, many organizations are shifting analytics and data science workloads to the Snowflake cloud. Leveraging the…
September 13, 2021
10 Ways AtScale Helps Organizations Scale Data Science and Enterprise AIAtScale has been helping bridge Enterprise BI and Data Science for years, recently announcing AtScale AI-Link to simplify access to our semantic layer platform with a Python library designed for data scientists. We clearly see an explosion of interest around…
September 9, 2021
How Analytics Governance Empowers Self-Service BIData governance is a broad topic with a lot of players offering commentary and strategy across the data and analytics space. Governance isn’t only about security and access control, or who can access what; it’s also about how data is…
