Introduction

Lynk is the Semantic Layer for business and data teams. Companies use it to build a central source of truth for their data - to enable self-service analytics and AI-powered apps.

Core concepts

Lynk Semantic Layer was built into the era of AI, with business teams in mind. It makes defining and consuming semantic / business definitions much more accessible to non technical users, as well as enforcing strong data modeling and governance features to keep the source of truth structurally strong and trusted.

Lynk is designed to give the power, the freedom and the flexibility to each member of the data supply chain to produce and explore the data they need when they need it. Lowering cross-team dependencies (and ad hoc requests), while keeping the company’s data organized in a central source of truth that is highly accessible.

The product's core concepts are:

Accessibility

Lynk is suitable for both business users and data teams. All the semantic definitions like Entities and Features are available to view and edit via Lynk Studio - a user friendly data catalog and glossary where anyone can access and create data in a simple yet governed manner.

Data modeling

At its core, Lynk has a structured data modeling framework. Data is modeled as entities and features in a way that is highly accessible for business users and AI, and makes it simpler to overcome common challenges like "how should I model this data" and "was this already done before?"

Visit data modeling for in-depth information about this.

Governance

Entities, features and usage patterns are all constantly governed. To make sure our source of truth is trusted and avoid duplicated logic and wasted resources.

Visit governance for in-depth information about this.

Version control

Everything built on Lynk translates to code and is version controlled, even if built via the Studio. Apply coding best practices, CI/CD and tests to semantic definitions - while letting business users and analysts move fast.

Visit Git integration for in-depth information about this.

Efficiency

Efficiency is critical for query performance and reducing cost. Semantic definitions are translated to efficient SQL code. Lynk also governs usage patterns to suggest improvements.

AI first

Lynk is built from the ground up with AI in mind. Coming soon: AI will empower users to build, explain, and consume entities, features, and data insights.