Updated June 22, 2021

Analytics Query Acceleration in the Age of Cloud Data Platforms

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…

Posted by: Dave Mariani

Updated June 4, 2021

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 grouped in with other data…

Posted by: Dave Mariani

Updated June 1, 2021

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. Until recently, however, the semantic…

Posted by: Chris Oshiro

Updated May 12, 2021

Employee Spotlight: Darrel Hamlet

When you join the AtScale team, you join a team of talented individuals  who are committed to sharing our mission of creating a data-driven culture. Today we are pleased to introduce you to Darrel Hamlet, who helps turn the AtScale…

Posted by: Mary O’Hara

Updated June 22, 2021

Analytics Query Acceleration in the Age of Cloud Data Platforms

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…

Posted by: Dave Mariani

Updated June 4, 2021

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 grouped in with other data…

Posted by: Dave Mariani

Updated June 1, 2021

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. Until recently, however, the semantic…

Posted by: Chris Oshiro

Updated May 12, 2021

Employee Spotlight: Darrel Hamlet

When you join the AtScale team, you join a team of talented individuals  who are committed to sharing our mission of creating a data-driven culture. Today we are pleased to introduce you to Darrel Hamlet, who helps turn the AtScale…

Posted by: Mary O’Hara
Guide: How to Choose a Semantic Layer
The Ultimate Guide to Choosing a Semantic Layer