Blog

Updated July 8, 2021

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. And, in our second piece, we…

Updated July 7, 2021

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 we better understand what data fabric is…

Updated June 29, 2021

Introduction to Data Fabric We have written about the concept of the “Data Fabric” in the past. While not new, it is an increasingly cited topic to help organize the many technologies and strategies employed by enterprise data teams to…

Updated June 22, 2021

Late last year, Gartner published their first Market Guide for Analytics Query Accelerators (available with Gartner Subscription).  They loosely define this broad set of technologies as providing “[query] optimization on top of semantically flexible data stores, typically associated with data…

Updated June 4, 2026

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 grouped in with other data…

Updated June 1, 2021

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. Until recently, however, the semantic…

Updated May 26, 2021

AtScale 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

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 Bowes found that 92% of…

Updated May 18, 2021

Data-driven: a phrase that sounds so simple, but in practice so complicated. For years, organizations have accumulated data in various formats, from many sources. Data engineers were expected to process and analyze this data for consumption by business users. This…

Updated May 7, 2021

Happy May! It's been a busy first week of the month for the AtScale team! In this Data & Analytics News Roundup, we share three AtScale news stories from TechTarget, AI TechPark and Dataversity. Keep reading to learn more! Do…