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A podcast series featuring Data & Analytics heroes and other stars in the AtScale Community




2021 Predictions

2021 Predictions

What’s in store for 2021? Dave Mariani, Sarah Gerweck and Chris Oshiro share their predictions for the new year as well as lessons learned from 2020.

State of COVID-19 Impact on Retail

CHATSCALE State of COVID-19 Impact on Retail

In this episode, two authors of our State of COVID-19 Impact on Retail report, Peter Dolan and Stella Valcheva, share their observations of US retail recovery and how mobility data is giving us a better look into how much consumer behavior has changed prior to and during the pandemic.


Data Horror Stories

Data Horror Stories

In this episode, Sarah Gerweck (AtScale Co-Founder and Chief Technology Officer), Chris Oshiro (Field CTO) and Dave Mariani (Co-Founder and Chief Strategy Officer) share their spookiest data horror story.

Ryan Squire, SafeGraph

CHATSCALE, Ryan Squire, SafeGraph

Ryan Squire, Senior Data Scientist of SafeGraph, shares how his passion for science and PhD in neuroscience led him to his role at SafeGraph. In this episode, Ryan talks about the benefits of working with third party data and offers advice to aspiring data and analytics professionals.

Jen Stirrup, Data Relish

Jen Stirrup, Data Relish

Jen Stirrup, CEO of Data Relish, shares how she learned how to program at the age of eight years old and how this fascination with technology as a child led her to where she is today. In this episode, Jen recalls the challenges that her clients face and how her goal is to help them understand the business challenges through the power of data.

The High Cost of Tech Talent and What You Can Do About It

How do you hire data engineers? How do you keep them? In this episode, Carole Gunst discusses the costs and challenges of hiring with AtScale’s Dave Mariani and Chris Oshiro.


CHATSCALE The High Cost of Tech Talent

Aamedh Bhargava, Home Depot

Aamedh Bhargava, Senior Analyst, Supply Chain of Home Depot brings us back to the start of his career; sharing how he “never looked back” after working an internship with Home Depot that led him to a full-time position. In this episode, Aamedh recalls the challenges that his team works through everyday and how he measures success as an analytics leader.

CHATSCALE Home Depot, Aamedh Bhargava

Mark Stange-Tregear, Rakuten Rewards

VP of Analytics at Rakuten Rewards, Mark Stange-Tregear tells all; reflecting on his “random walk” to a career working with data and what it means to have a “programmatic approach” to his work. In this episode, you’ll hear from an expert as to why convincing people to trust their data is an ongoing challenge and how important it is to build a data-hungry culture in any company.

Mark Stange-Tregear, Rakuten

Milos Milenkovic, Spotify

Analytics leader Milos Milenkovic, Business Intelligence Developer at Spotify, talks about how he and his team use data to transform their organization. You’ll learn how Milos connected two of his passions: basketball and data and turned it into a career in BI that took him from Serbia to Stockholm.

Milos Milenkovic, Spotify

Co-Founders Dave Mariani and Sarah Gerweck Share the AtScale Origin Story

Listen to an informal online chat with the co-founders of AtScale to learn about how and why they built AtScale.
Dave and Sarah share their Big Data & Analytics experiences and their entrepreneurial stories and answering your questions.

Founders Podcast

About AtScale

The Global 2000 relies on AtScale – the intelligent data virtualization company – to overcome common data and analytics challenges including:

  • Accelerating data-driven decisions at scale
  • Creating one consistent and compliant view of data definitions and metrics
  • Controlling the complexity and cost of analytics
  • Mitigating the risks associated with data and analytics

AtScale’s technology solution provides a single, secured and governed workspace for distributed data. The combination of the company’s Cloud OLAP, Autonomous Data Engineering™ and Universal Semantic Layer™  powers business intelligence and machine learning, driving enterprise revenue, decreasing the costs of analytics and reducing data risk.