Dave Mariani

July 29, 2021

Self-service data analytics is a major milestone for many enterprises, but it often requires an iterative approach to data and analytics architectures to get there. Learn more about how a multi-billion dollar consumer packaged goods leader built a world-class self-service…

July 13, 2021

The use of data aggregations (i.e. aggregates) to accelerate query performance is a common practice for data engineering teams, but the question remains how to balance resources like time and compute consumption in the aggregation process. Rather than relying on…

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…

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…

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…

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…

June 10, 2021

The 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…

June 9, 2021

While self-service data analytics requires the right technologies, promoting the use of data throughout an organization demands strong data literacy and non-intrusive governance, as well. During our webinar, How to Scale Self-Service Analytics for Smarter Decision-Making, we spoke with John…

June 4, 2021

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…

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…

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…

May 3, 2021

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…