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…
March 29, 2022
Developing a Data Sharing Culture with a Semantic LayerWhen it comes to effectively consuming data for business insights, there are six key areas: data, access, model, analyze, consume, and insights. AtScale’s Data and Analytics Maturity Model Workshop explains how organizations can build the skills and knowledge to advance…
March 24, 2022
Data Enrichment: Integrating First-Party and Third-Party DataWhen it comes to effectively consuming data for business insights, there are six key areas: data, access, model, analyze, consume, and insights. AtScale’s Data and Analytics Maturity Model Workshop explains how organizations can build the skills and knowledge necessary to…
March 17, 2022
Improving Data Quality with a Semantic LayerThe data economy is being embraced worldwide across industries because companies that are data driven show improved business performance. In fact, data has given companies such as Netflix, Facebook, Google and Uber a distinct competitive advantage. Although nearly every company…
March 8, 2022
The Centralized Data Repository: Breaking Down Data SilosWhen it comes to effective consumption of data for business insights, there are six key capabilities: data, access, model, analyze, consume, and insights. AtScale’s Data and Analytics Maturity Model Workshop explains how organizations can build the skills and knowledge necessary…
