Updated May 3, 2022
Performant Power BI Analysis on Snowflake with AtScaleWe've learned a lot working together with top technologists & strategists like Arun Ulag for Power BI (the leading BI tool) and Michael Gregory & Simon Field for Snowflake (the most popular data warehouse). In this blog post, we’ll recap…
Updated April 28, 2022
The Semantics of the Semantic Layer Part 2: Data for EveryoneIn my first blog of this series, The Semantics of the Semantic Layer, I laid out the seven core capabilities of a semantic layer. In this blog, I will dive deeper into how a semantic layer connects data to people,…
Updated April 26, 2022
How to Scale SSAS-Style Analytics with Databricks + AtScaleAs organizations become more data-centric, companies are bringing in data from more sources and storing more volume. That's only added more fuel to the ongoing data cloud 'platform wars', particularly with Databricks and Snowflake. With some exciting benchmark results recently…
Updated April 21, 2022
The Semantics of the Semantic LayerI co-founded AtScale to focus on the challenges of supporting a large number of data analysts working on disparate sets of data managed in a massive lake. We borrowed the term “semantic layer” from the folks at Business Objects who…
Updated April 19, 2022
Combining Data Integration Styles for Improved Data AccessibilityThere are six key areas for effectively consuming data for business insights: data, access, model, analyze, consume, and insights. For organizations looking to advance in each of these areas, AtScale’s Data and Analytics Maturity Model Workshop explains how teams can…
Updated April 14, 2022
Creating & Fostering a Data-Driven Culture: Lessons from Kolibri Games, Direct Supply, BetMGM, and PayPalDuring another round of interviews with data leaders, I spoke with several industry experts about creating and fostering a data-driven culture. We discussed different data architectures, the gap between data produced and data consumed, data literacy, and more. The data…
Updated April 12, 2022
Aligning AI & BI Teams to Empower Decision-Making: Actionable Insights Series Part IIICurated advice from 50+ data leaders, industry experts & customers Over the last 12 months, we've hosted 18 webinars with 50+ industry experts, data leaders, and customers reaching an audience of 25k+ data and analytics community members/professionals. I've decided to…
Updated April 7, 2022
Supporting Intelligent Automation Initiatives with a Semantic Layer to Transform Enterprise Data OpsAs intelligent automation technologies become more prevalent and sophisticated, the need for a semantic layer to provide the data necessary for enterprise operations is becoming increasingly important. This includes improving process and task automation development, data refinement and optimization, interpreting…
Updated April 5, 2022
Optimizing Cloud Analytics: Actionable Insights Series Part IICurated advice from 50+ data leaders, industry experts & customers Over the last 12 months, we've hosted 18 webinars with 50+ industry experts, data leaders, and customers reaching an audience of 25k+ data and analytics community members/professionals. I've decided to…
Updated March 31, 2022
Scaling Self-Service Analytics: Actionable Insights Series Part ICurated advice from 50+ data leaders, industry experts & customers Over the last 12 months, we've hosted 18 webinars with 50+ industry experts, data leaders, and customers reaching an audience of 25K+ data and analytics community members/professionals. I've decided…
