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The 5 Essential Features
of Every Semantic Layer

Unlock the power of your Cloud Data Warehouse

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Semantic Layer Essentials

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The Modern Data Stack Needs a
Semantic Layer

Today data engineers have more comprehensive and powerful tools than ever before. How should these tools be evaluated?

Read this guide to learn the 5 critical components to any semantic layer and how to test them against these criteria, including how to:

  • Easily Deliver Data To ANY Data Experience
  • Gain a Single Source of Truth Flexible, Centralized Data Model
  • Leverage Centralize Authentification for Easier-to-Manage Security Controls
  • Deliver at the SPEED of Data
  • Build a Community to Support You On Your Journey
We found Cube and, in two weeks, we delivered a highly customized and intuitive embedded analytics user experience - all without changing anything in our data stack

Dhyan Shah
Product Manager
RamSoft

Why Semantic Layer with Cube

Consistent definitions mean consistently aligned teams.

Cube’s Semantic Layer provides a centralized, single source of truth for every team’s data—
facilitating synchrony, efficiency, and productivity.

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