May 19, 2022
The Semantics of the Semantic Layer Part 5: The Calculation EngineThis is the fifth blog in my series The Semantics of the Semantic Layer, where I discuss the seven core capabilities of a semantic layer. In this blog, I will dive deeper into the multidimensional calculation engine that serves as…
May 17, 2022
The softer side of enterprise analytics: Culture, Org Design, Process ManagementMany companies pursuing a path to data-driven decision-making – accelerated through data democratization – struggle with how to define and support the core people, roles, and competencies involved with data (data creators, enablers, and consumers). In many cases, the path…
May 12, 2022
The Semantics of the Semantic Layer Part 4: Data PreparationThis is the fourth blog in my blog series, The Semantics of the Semantic Layer, where I describe the seven core capabilities of a semantic layer. In this blog, I will dive deeper into the virtualized data preparation that makes…
May 10, 2022
Accelerate Data Science and AutoML with a Semantic LayerAt AtScale, we love talking to data and analytics technologists and hearing their stories. We recently hosted a tech talk (presentation and demo) with Ben Taylor, Chief AI Evangelist at DataRobot, about how AtScale and DataRobot can help align AI…
May 5, 2022
The Semantics of the Semantic Layer Part 3: The Semantic Data ModelThis is the third blog in my blog series, The Semantics of the Semantic Layer, where I describe the seven core capabilities of a semantic layer. In this blog, I will dive deeper into the semantic data model that serves…
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…
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,…
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…
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…
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…
