Skip to main content

Blog

Thinking on semantic data modeling and the universal semantic layer, plus release notes on what's new in Ellie.

Data Vault, Kimball, or Medallion? Why Conceptual Modeling Comes First

Debating Data Vault, Kimball, or Medallion too early skips a step. Conceptual modeling of business entities and definitions needs to come first, or reporting and governance suffer later.

Clyde & Co customer story hero graphic citing an 80% reduction in data integration complexity and an 8:1 efficiency gain

How One of the World's Leading Law Firms Is Building the Semantic Layer for AI-Ready Legal Services

Clyde & Co used ellie.ai to replace fragmented tools with a single semantic layer, cutting data integration complexity by 80% and building the foundation for AI-ready legal services.

Ellie 9.4: Version Control 2.0, Leveled Up

Ellie 9.4 expands Version Control System integrations to GitHub, GitLab, and Azure DevOps, enabling end-to-end repository workflows directly from the modeling canvas.

Building a Universal Context Layer: Why It Starts with Data Modeling

Gartner's Universal Context Layer promises consistent definitions across systems, but existing downstream tools can't deliver it. The real foundation is conceptual data modeling.

Ellie 9.3: Deeper Collibra Integration and More Control

Ellie 9.3 deepens the Collibra connector with domain asset nodes for precise folder mapping and automatic relationship direction resolution between the two platforms.

The Evolution of Data Modeling Tools: Why Enterprise Teams Are Moving from Desktop to Cloud Platforms

Why desktop modeling tools like SAP PowerDesigner no longer fit modern, cross-functional data teams, and how cloud-based modeling platforms follow the same shift seen in Figma, Google Docs, and GitHub: shared models, real-time collaboration, and built-in governance replacing single-user files with no clear source of truth.

Ellie 9.2: Better Organization and Navigation

Ellie 9.2 adds an Archive status for retiring assets, smarter filtering across folders and models, a list view for folders, and a swagger.json endpoint.

Why Data Modeling Is Critical for the Financial Sector

Why financial organizations need strong data models to manage system fragmentation, satisfy regulators like the Federal Reserve, SEC and the EU's new Anti-Money Laundering Authority, support risk and AML monitoring, and keep financial products, customer hierarchies and glossaries consistent across systems.

AI-Powered Data Modeling: Transforming the Entire Data Workflow

AI is transforming every phase of the data modeling lifecycle, from entity discovery and schema design to query generation and governance validation, without replacing human expertise.

What Clean Data Really Means and Why One-Time Fixes Don’t Work

Argues clean data is an ongoing practice, not a one-time fix, unpacking why engineering's 'it runs without errors' and business's 'consistent, decision-ready definitions' notions of clean diverge, and proposing an ongoing/periodic/occasional review cadence to separate routine maintenance from real structural change.

Introducing the Ellie MCP Server: Bridging AI and Data Modeling

The Ellie MCP Server lets AI assistants like Cursor, Windsurf, and Claude Desktop read, create, and refine your data models directly, turning AI into a true modeling partner.

Extended Ellie.ai API Capabilities now live

The Ellie.ai API now supports full CRUD on data models, entities, relationships, and metadata, making Ellie a first-class component in automated data and metadata workflows.

Ready to See It in Action?

A 45-minute call with a data modeling expert, not a sales pitch.