Platform

Data Modeling

Develop data models collaboratively in the cloud and share them with your organization in various modeling styles and formats with no coding or conversion required

Model Governance

Create and manage business metadata using a dedicated project role

Snowflake Schema Monitoring

Track and get notified of schema changes in live database environments

Integration

Strategic advisors

Kent Graziano

The Data Warrior, Strategic Advisor, Data Vault Master, Author, Speaker, and Tae Kwon Do Grandmaster

Gordon Wong

Leading organizations through analytics transformations, preference for social missions, healthcare, energy, education, and civic engagement

For cloud data platforms

SqlDBM offers secure native connectors to leading data platforms like Snowflake, Databricks, and BigQuery so you can reverse engineer and begin modeling in seconds.

Try modeling now

Data Modeling

Develop data models collaboratively in the cloud and share them with your organization in various modeling styles and formats with no coding or conversion required

Model Governance

Create and manage business metadata using a dedicated project role

Snowflake Schema Monitoring

Track and get notified of schema changes in live database environments

The Secret Life of Keys

Most people who have come into contact with a database will be familiar with basic concepts like primary and foreign keys. Yet, many people, including many engineers, lack a formal background in database modeling, let alone set theory, and may be unfamiliar with the many key-related terms used by other team members and in online […]

Conceptual, Logical, Physical Data Modeling — What’s the Difference?

Data modeling is the craft of turning messy, real‑world questions into data that systems can trust and people can use. This article walks through the three classic layers of that craft—conceptual, logical, and physical modeling—showing how each one tightens the focus from broad business meaning to platform‑specific DDL while ensuring the integrity, performance, and governance that […]

From the Birth of Data Modeling to AI – Milestones and Timeline

These days, powerful cloud data platforms like Snowflake, Databricks, and BigQuery empower business-critical use cases from petabyte-scale analytics to cross-cloud data lakes and machine learning. But how did we get here?  Many young data engineers might be surprised to learn that the journey of databases as we know them today dates back to the 1970s. […]

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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

Strategic advisors

Kent Graziano

The Data Warrior, Strategic Advisor, Data Vault Master, Author, Speaker, and Tae Kwon Do Grandmaster

Gordon Wong

Leading organizations through analytics transformations, preference for social missions, healthcare, energy, education, and civic engagement

For cloud data platforms

SqlDBM offers secure native connectors to leading data platforms like Snowflake, Databricks, and BigQuery so you can reverse engineer and begin modeling in seconds.

Try modeling now

Platform

Data Modeling

Develop data models collaboratively in the cloud and share them with your organization in various modeling styles and formats with no coding or conversion required

Model Governance

Create and manage business metadata using a dedicated project role

Snowflake Schema Monitoring

Track and get notified of schema changes in live database environments