Visual data modeling using erwin Data Modeler by Quest on the Databricks Lakehouse Platform
This is a collaborative post between Databricks and Quest Software. We thank Vani Mishra, Director of Product Management at Quest Software for her...
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Data Vault Best practice & Implementation on the Lakehouse
In the previous article Prescriptive Guidance for Implementing a Data Vault Model on the Databricks Lakehouse Platform , we explained core concepts of...
How To Migrate Your Oracle PL/SQL Code to Databricks Lakehouse Platform
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...
Building a Semantic Lakehouse With AtScale and Databricks
This is a collaborative post between AtScale and Databricks. We thank Kieran O'Driscoll, Technology Alliances Manager, AtScale, for his contributions. Kyle Hale, Solution...
Loading a Data Warehouse Data Model in Real Time with the Databricks Lakehouse
Dimensional modeling is one of the most popular data modeling techniques for building a modern data warehouse. It allows customers to quickly develop...
Data Modeling Best Practices & Implementation on a Modern Lakehouse
A Large number of our customers are migrating their legacy data warehouses to Databricks Lakehouse as it enables them to modernize not only...
Data Warehousing Modeling Techniques and Their Implementation on the Databricks Lakehouse Platform
The lakehouse is a new data platform paradigm that combines the best features of data lakes and data warehouses. It is designed as...
Prescriptive Guidance for Implementing a Data Vault Model on the Databricks Lakehouse Platform
There are many different data models that you can use when designing an analytical system, such as industry-specific domain models, Kimball, Inmon, and...