This is a collaborative post between Databricks and Quest Software. We thank Vani Mishra, Director of Product Management at Quest Software for her...

In the previous article Prescriptive Guidance for Implementing a Data Vault Model on the Databricks Lakehouse Platform , we explained core concepts of...

Oracle is a well-known technology for hosting Enterprise Data Warehouse solutions. However, many customers like Optum and the U.S. Citizenship and Immigration Services...

This is a collaborative post between AtScale and Databricks. We thank Kieran O'Driscoll, Technology Alliances Manager, AtScale, for his contributions. Kyle Hale, Solution...

Dimensional modeling is one of the most popular data modeling techniques for building a modern data warehouse. It allows customers to quickly develop...

A Large number of our customers are migrating their legacy data warehouses to Databricks Lakehouse as it enables them to modernize not only...

The lakehouse is a new data platform paradigm that combines the best features of data lakes and data warehouses. It is designed as...

There are many different data models that you can use when designing an analytical system, such as industry-specific domain models, Kimball, Inmon, and...