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…
October 12, 2021
Bridging Business Intelligence & Data Science in SnowflakeThis is the first of a three part blog series discussing the power of AtScale and Snowflake to help enterprise data science teams scale and leverage the agility of a cloud based infrastructure. We have written before about the power…
October 7, 2021
How to Leverage the Power of AtScale with Ad Hoc Analysis in ExcelNo matter how sophisticated and agile an enterprise BI program may be, there is always a need to go deeper than canned reports and dashboards. Business analysts’ primary role is to figure out what the data is saying and support decision…
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…
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…
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.…
