Updated July 7, 2021
The Role of the Semantic Layer in a Data Fabric DesignIn our first post of this series, we explored the notion of a Data Fabric as a design pattern for assembling technologies and processes to support modern data and analytics infrastructure. Now that we better understand what data fabric is…
Updated June 16, 2021
How Insurance Companies Can Merge Foursquare Places Data with First-Party DataMany insurance companies are looking to tap the power of third-party data to gain critical insights into their potential customer base. By blending third-party data with first-party data, these insurance providers can improve their decision-making capabilities through advanced analytics and…
Updated June 10, 2021
AtScale in Action: Scaling Self-Serve BI Program on Snowflake With a Semantic LayerThe ability to access data from Snowflake in a consistent manner is crucial for scaling analytics programs and building a self-service BI culture. In addition to providing control and analytics governance, the AtScale universal semantic layer accelerates BI query performance…
Updated June 4, 2021
How Data Virtualization Supports BI & AnalyticsData virtualization refers to a general technology approach of abstracting data away from physical data sources, including data warehouses, data lakes, application data, without having to copy or move it. Data virtualization solutions are generally grouped in with other data…
Updated June 1, 2021
How to Use a Semantic Layer for Data and AnalyticsYou may have heard the term semantic layer before, as it’s been around for some time. Semantic layers were invented to mold relational databases and their SQL dialects into an approachable interface for business users. Until recently, however, the semantic…
Updated May 26, 2021
A Semantic Layer for Shared Data with Secure, Open Source Delta SharingAtScale is a launch partner for the new, open source Delta Sharing project. We see the tremendous value in establishing an open source protocol for data sharing within modern cloud data architectures. Enterprise business intelligence and data science teams are…
Updated May 19, 2021
How Third-Party Data Modeling Enables Smarter DecisionsWhile the use of external data has been around for a long time in some industries, the demand for more data sources continues to grow across all verticals. In fact, research by Forrester and Pitney Bowes found that 92% of…
Updated May 3, 2021
The Data & Analytics Flywheel: What Is It and How Do You Create Your Own?In my last blog, I introduced the Data & Analytics Maturity Model to help organizations evaluate where they fall on the analytics maturity scale. In this blog, I’ll discuss how to create a data-driven decisions “flywheel” to super power your…
Updated March 22, 2021
How SlickDeals Leveraged a Semantic Layer to Enable Self-Service Business IntelligenceRecently, we hosted a webinar with Greg Mabrito, Director of Data and Analytics at Slickdeals, a user-driven deal-sharing site enabling consumers to collaborate and share info to make savvier online shopping decisions. In the session, which you can watch in…
Updated February 17, 2021
How To: Blend Data from Salesforce, Google Analytics, and Marketo with the Universal Semantic LayerOur first webinar of 2021, co-hosted by Cat Origitano of FiveTran, a trusted AtScale technological partner, covered one the the most trending topics in the Marketing and Sales space today - “How do I blend incoming data from my MarTech…
