Dave Mariani

Dave Mariani LinkedIn Profile

Dave is the founder of AtScale and is the Chief Technology Officer. Prior to AtScale, he was VP of Engineering at Klout & at Yahoo! where he built the world’s largest multi-dimensional cube for BI on Hadoop. Mariani is a Big Data visionary & serial entrepreneur.

August 5, 2021

AtScale in Action: How to Make Power BI Perform on Snowflake

Many enterprises today choose the Microsoft stack because it fits seamlessly with the Windows OS and existing business applications. That’s why AtScale has partnered with Snowflake to streamline reporting and analytics with Power BI. If you haven’t seen our previous…

July 29, 2021

User Story: The Journey to Self-Service Data Analytics

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

How AtScale Uses Aggregates to Optimize Query Performance

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

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. And, in our second piece, we…

July 7, 2021

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 we better understand what data fabric is…

June 29, 2021

Building a Practical Data Fabric at Scale

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

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…

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…

May 18, 2021

How to Scale Data-Driven Decision Making Across Your Organization

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…

April 29, 2021

Make Power BI Shine on Snowflake, BigQuery & Redshift

Attention Power BI enthusiasts, what I am about to say is huge! AtScale now lets you get Live Query access to cloud data warehouses within a full, multi-dimensional model. This means you get live access to your cloud data with…