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/ 4 MIN READ

Accessing Analysis-Ready Third-Party Data with a Semantic Layer

In a previous post, we talked about using AtScale’s semantic layer to merge Foursquare Places data with first-party data. By blending third-and first-party data, organizations can improve their decision-making capabilities using advanced analytics and predictive…

Posted By: Daniel Gray

/ 9 MIN READ

5 Benefits of a Semantic Layer in a Data Fabric Design

In the first post of this series on Data Fabrics , we defined the enterprise data fabric design pattern and how it can transform your data and analytics operations into a self managing, data factory.…

Posted By: Dave Mariani

/ 7 MIN READ

The Role of the Semantic Layer in a Data Fabric Design

In 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…

Posted By: Dave Mariani

/ 8 MIN READ

How Data Virtualization Supports BI & Analytics

Data 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…

Posted By: Dave Mariani

/ 2 MIN READ

How to Use a Semantic Layer for Data and Analytics

You 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.…

Posted By: Chris Oshiro

/ 4 MIN READ

How Third-Party Data Modeling Enables Smarter Decisions

While 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…

Posted By: Cort Johnson