June 18, 2020
Data News Roundup – Thursday, June 18th, 2020
Around this time last year, we gathered our top performing blog posts of 2019. The goal of our blog is to share the latest updates in all things analytics, data and tech as well as give you a glimpse into what our company is like. What did 2020 look like for our blog? Here are five of our top performing blog posts!
Analytics Leader Spotlight: Mark Stange-Tregear of Rakuten Rewards
This year we were very excited to launch or Analytics Leader Spotlight series both on our blog and on our podcast. In this interview, Mark Stange-Tregear, VP of Analytics at Rakuten Rewards shares what his daily responsibilities look like and also speaks to the challenge of having people trust their data.
Analytics Leader Spotlight: Matthew Hartwig of Wayfair
In this interview, Matthew Hartwig, speaks to how he began his career in data and analytics and why velocity is a big part of the Wayfair culture.
What is Agile Data Modeling?
“Agile data modeling describes a more simplified provisioning of data models, allowing business users to create their own models. This reduces or eliminates the need for human data engineers to provision data, considerably expediting the data modeling process.” In this blog post, we share five benefits to adaptive analytics.
Remote Work: Making Our Team Stronger So We Can Help You
No one could have predicted 2020. In this blog post, we shared how the AtScale team is working together during the pandemic and how your team can succeed in a remote work environment.
Universal Semantic Layer: More Important Than Ever
What is a Universal Semantic Layer? In this blog post, Dave Mariani, AtScale Co-Founder and CTO, speaks to the benefits of a Universal Semantic Layer, sharing that “by adding a Universal Semantic Layer to your architecture, you can drastically simplify your stack, not complicate it. To start with, you can retire multiple, proprietary and conflicting semantic layers that are tough to maintain and impossible to keep in sync. The key is that a semantic layer is useless and counterproductive unless it’s universal. All tool and cloud vendors want to convince you to stay within their walled gardens with their tool-specific semantic layers.”
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