The Semantics of the Semantic Layer
I 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 ”…
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Combining Data Integration Styles for Improved Data Accessibility
There 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…
Supporting Intelligent Automation Initiatives with a Semantic Layer to Transform Enterprise Data Ops
As 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,…
Developing a Data Sharing Culture with a Semantic Layer
When 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…
Data Enrichment: Integrating First-Party and Third-Party Data
When 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…
Improving Data Quality with a Semantic Layer
The 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…
The Centralized Data Repository: Breaking Down Data Silos
When 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…
AtScale + Tableau | Accelerating Self-Service BI with a Semantic Layer
We’ve been publishing a lot of new case studies based on our experience helping customers get value from AtScale’s semantic layer. With that in mind, we’d like to delve into our partnership with Tableau. The…
How to Liberate Your Data [Scientists] with a Semantic Layer
Every business decision, keystroke, or mouse click is a potentially valuable data point. Most companies don’t have any trouble generating and storing their data these days, and there are mature technologies that help companies break…
Developing an Enterprise Data Strategy
Many companies face challenges in developing a roadmap for data, insights, and analytics. This blog stresses how an enterprise data strategy is a critical guidepost for articulating an effective set of use cases and a…